Models

Explore the active model market,from a local OpenRouter snapshot.

This page reads from a local JSON snapshot synced from OpenRouter, so the catalog stays fast, indexable, and stable. Use it to browse current model coverage by provider, modality, reasoning support, context window, and pricing metadata.

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Showing 48 of 683 matching models

Snapshot source: OpenRouter. Synced April 21, 2026 at 8:00 AM. Page 3 of 15.

This route is built from local JSON so the catalog stays stable for browsing and SEO. If you need a specific model on ImaRouter, treat this page as a discovery reference and then contact the team for availability.

TextReasoning

Unknown provider

Qwen: Qwen3.6 Plus Preview

Qwen 3.6 Plus Preview is the next-generation evolution of the Qwen Plus series, featuring an advanced hybrid architecture that improves efficiency and scalability. It delivers stronger reasoning and more reliable agentic behavior compared to the 3.5 series. In benchmarks, it performs at or above leading state-of-the-art models. Designed as a flagship preview, it excels in agentic coding, front-end development, and complex problem-solving. Note: The model collects prompt and completion data that can be used to improve the model.

Text

Context

Group

Qwen3

Pricing preview

No display pricing published in the current snapshot.

Slug

qwen/qwen3.6-plus-preview

Text

Unknown provider

Kwaipilot: KAT-Coder-Pro V1

KAT-Coder-Pro V1 is KwaiKAT's most advanced agentic coding model in the KAT-Coder series. Designed specifically for agentic coding tasks, it excels in real-world software engineering scenarios, achieving 73.4% solve rate on the SWE-Bench Verified benchmark. The model has been optimized for tool-use capability, multi-turn interaction, instruction following, generalization, and comprehensive capabilities through a multi-stage training process, including mid-training, supervised fine-tuning (SFT), reinforcement fine-tuning (RFT), and scalable agentic RL.

Text

Context

262.1K

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

kwaipilot/kat-coder-pro

Text

Google AI Studio

Google: Lyria 3 Pro Preview

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz stereo audio from text prompts or from images. These models deliver structural coherence, including vocals, timed lyrics, and full instrumental arrangements. Lyria 3 Pro can generate full-length songs with verses, choruses, bridges.

TextAudioImage

Context

Group

Other

Pricing preview

Song Generation: $0.08 per song

Slug

google/lyria-3-pro-preview

Text

Google AI Studio

Google: Lyria 3 Clip Preview

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz stereo audio from text prompts or from images. These models deliver structural coherence, including vocals, timed lyrics, and full instrumental arrangements. Lyria 3 Clip can generate short clips, loops, previews.

TextAudioImage

Context

Group

Other

Pricing preview

Song Generation: $0.04 per song

Slug

google/lyria-3-clip-preview

TextReasoning

Xiaomi

Xiaomi: MiMo-V2-Omni

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step planning, tool use, and code execution - making it well-suited for complex real-world tasks that span modalities, 256K context window.

TextAudioImageVideo

Context

262.1K

Group

Other

Pricing preview

Input Price: $0.4 /M tokens

Output Price: $2 /M tokens

Slug

xiaomi/mimo-v2-omni

Text

StreamLake

Kwaipilot: KAT-Coder-Pro V2

KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions, with a focus on large-scale production environments, multi-system coordination, and seamless integration across modern software stacks, while also supporting web aesthetics generation to produce production-grade landing pages and presentation decks.

Text

Context

256K

Group

Other

Pricing preview

Input Price: $0.3 /M tokens

Output Price: $1.2 /M tokens

Slug

kwaipilot/kat-coder-pro-v2

TextReasoning

DeepInfra

NVIDIA: Llama 3.3 Nemotron Super 49B V1.5

Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and multi-turn chat, followed by multiple RL stages; Reward-aware Preference Optimization (RPO) for alignment, RL with Verifiable Rewards (RLVR) for step-wise reasoning, and iterative DPO to refine tool-use behavior. A distillation-driven Neural Architecture Search (“Puzzle”) replaces some attention blocks and varies FFN widths to shrink memory footprint and improve throughput, enabling single-GPU (H100/H200) deployment while preserving instruction following and CoT quality. In internal evaluations (NeMo-Skills, up to 16 runs, temp = 0.6, top_p = 0.95), the model reports strong reasoning/coding results, e.g., MATH500 pass@1 = 97.4, AIME-2024 = 87.5, AIME-2025 = 82.71, GPQA = 71.97, LiveCodeBench (24.10–25.02) = 73.58, and MMLU-Pro (CoT) = 79.53. The model targets practical inference efficiency (high tokens/s, reduced VRAM) with Transformers/vLLM support and explicit “reasoning on/off” modes (chat-first defaults, greedy recommended when disabled). Suitable for building agents, assistants, and long-context retrieval systems where balanced accuracy-to-cost and reliable tool use matter.

Text

Context

131.1K

Group

Llama3

Pricing preview

Input Price: $0.1 /M tokens

Output Price: $0.4 /M tokens

Slug

nvidia/llama-3.3-nemotron-super-49b-v1.5

TextReasoning

NovitaAI

Baidu: ERNIE 4.5 21B A3B Thinking

ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performance in logical puzzles, math, science, coding, text generation, and expert-level academic benchmarks.

Text

Context

131.1K

Group

Other

Pricing preview

Input Price: $0.07 /M tokens

Output Price: $0.28 /M tokens

Slug

baidu/ernie-4.5-21b-a3b-thinking

Image

Google AI Studio

Google: Nano Banana (Gemini 2.5 Flash Image)

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)

ImageText

Context

32.8K

Group

Gemini

Pricing preview

Input Price: $0.3 /M tokens

Output Price: $2.5 /M tokens

Slug

google/gemini-2.5-flash-image

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen3 VL 30B A3B Thinking

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels in perception of real-world/synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image multi-turn instructions, video timeline alignments, GUI automation, and visual coding from sketches to debugged UI. Text performance matches flagship Qwen3 models, suiting document AI, OCR, UI assistance, spatial tasks, and agent research.

TextImage

Context

131.1K

Group

Qwen3

Pricing preview

Input Price: $0.13 /M tokens

Output Price: $1.56 /M tokens

Slug

qwen/qwen3-vl-30b-a3b-thinking

Text

Alibaba Cloud Int.

Qwen: Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception of real-world/synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image multi-turn instructions, video timeline alignments, GUI automation, and visual coding from sketches to debugged UI. Text performance matches flagship Qwen3 models, suiting document AI, OCR, UI assistance, spatial tasks, and agent research.

TextImage

Context

131.1K

Group

Qwen3

Pricing preview

Input Price: $0.13 /M tokens

Output Price: $0.52 /M tokens

Slug

qwen/qwen3-vl-30b-a3b-instruct

TextReasoning

SiliconFlow

Z.ai: GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.

Text

Context

204.8K

Group

Other

Pricing preview

Input Price: $0.39 /M tokens

Output Price: $1.9 /M tokens

Slug

z-ai/glm-4.6

TextReasoning

NovitaAI

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism designed to improve training and inference efficiency in long-context scenarios while maintaining output quality. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model was trained under conditions aligned with V3.1-Terminus to enable direct comparison. Benchmarking shows performance roughly on par with V3.1 across reasoning, coding, and agentic tool-use tasks, with minor tradeoffs and gains depending on the domain. This release focuses on validating architectural optimizations for extended context lengths rather than advancing raw task accuracy, making it primarily a research-oriented model for exploring efficient transformer designs.

Text

Context

163.8K

Group

DeepSeek

Pricing preview

Input Price: $0.27 /M tokens

Output Price: $0.41 /M tokens

Slug

deepseek/deepseek-v3.2-exp

Text

Parasail

TheDrummer: Cydonia 24B V4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

Text

Context

131.1K

Group

Other

Pricing preview

Input Price: $0.3 /M tokens

Output Price: $0.5 /M tokens

Slug

thedrummer/cydonia-24b-v4.1

TextReasoning

Unknown provider

Google: Gemini 2.5 Flash Preview 09-2025

Gemini 2.5 Flash Preview September 2025 Checkpoint is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

TextImageFileAudioVideo

Context

Group

Gemini

Pricing preview

No display pricing published in the current snapshot.

Slug

google/gemini-2.5-flash-preview-09-2025

TextReasoning

Google Vertex

Google: Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.

TextImageFileAudioVideo

Context

Group

Gemini

Pricing preview

Input Price: $0.1 /M tokens

Output Price: $0.4 /M tokens

Slug

google/gemini-2.5-flash-lite-preview-09-2025

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows, turning sketches or mockups into code and assisting with UI debugging, while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.

TextImage

Context

131.1K

Group

Qwen3

Pricing preview

Input Price: $0.26 /M tokens

Output Price: $2.6 /M tokens

Slug

qwen/qwen3-vl-235b-a22b-thinking

Text

DeepInfra

Qwen: Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table extraction, multilingual OCR). The series emphasizes robust perception (recognition of diverse real-world and synthetic categories), spatial understanding (2D/3D grounding), and long-form visual comprehension, with competitive results on public multimodal benchmarks for both perception and reasoning. Beyond analysis, Qwen3-VL supports agentic interaction and tool use: it can follow complex instructions over multi-image, multi-turn dialogues; align text to video timelines for precise temporal queries; and operate GUI elements for automation tasks. The models also enable visual coding workflows—turning sketches or mockups into code and assisting with UI debugging—while maintaining strong text-only performance comparable to the flagship Qwen3 language models. This makes Qwen3-VL suitable for production scenarios spanning document AI, multilingual OCR, software/UI assistance, spatial/embodied tasks, and research on vision-language agents.

TextImage

Context

262.1K

Group

Qwen3

Pricing preview

Input Price: $0.2 /M tokens

Output Price: $0.88 /M tokens

Slug

qwen/qwen3-vl-235b-a22b-instruct

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen3 Max

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It delivers higher accuracy in math, coding, logic, and science tasks, follows complex instructions in Chinese and English more reliably, reduces hallucinations, and produces higher-quality responses for open-ended Q&A, writing, and conversation. The model supports over 100 languages with stronger translation and commonsense reasoning, and is optimized for retrieval-augmented generation (RAG) and tool calling, though it does not include a dedicated “thinking” mode.

Text

Context

262.1K

Group

Qwen3

Pricing preview

Input Price: $0.78 /M tokens

Output Price: $3.9 /M tokens

Slug

qwen/qwen3-max

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.

Text

Context

Group

Qwen3

Pricing preview

Input Price: $0.65 /M tokens

Output Price: $3.25 /M tokens

Slug

qwen/qwen3-coder-plus

TextReasoning

DeepInfra

DeepSeek: DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows.

Text

Context

163.8K

Group

DeepSeek

Pricing preview

Input Price: $0.21 /M tokens

Output Price: $0.79 /M tokens

Slug

deepseek/deepseek-v3.1-terminus

TextReasoning

AtlasCloud

Tongyi DeepResearch 30B A3B

Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billion per token. It's optimized for long-horizon, deep information-seeking tasks and delivers state-of-the-art performance on benchmarks like Humanity's Last Exam, BrowserComp, BrowserComp-ZH, WebWalkerQA, GAIA, xbench-DeepSearch, and FRAMES. This makes it superior for complex agentic search, reasoning, and multi-step problem-solving compared to prior models. The model includes a fully automated synthetic data pipeline for scalable pre-training, fine-tuning, and reinforcement learning. It uses large-scale continual pre-training on diverse agentic data to boost reasoning and stay fresh. It also features end-to-end on-policy RL with a customized Group Relative Policy Optimization, including token-level gradients and negative sample filtering for stable training. The model supports ReAct for core ability checks and an IterResearch-based 'Heavy' mode for max performance through test-time scaling. It's ideal for advanced research agents, tool use, and heavy inference workflows.

Text

Context

131.1K

Group

Other

Pricing preview

Input Price: $0.09 /M tokens

Output Price: $0.45 /M tokens

Slug

alibaba/tongyi-deepresearch-30b-a3b

Text

Alibaba Cloud Int.

Qwen: Qwen3 Coder Flash

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.

Text

Context

Group

Qwen3

Pricing preview

Input Price: $0.195 /M tokens

Output Price: $0.975 /M tokens

Slug

qwen/qwen3-coder-flash

Text

Unknown provider

Arcee AI: AFM 4.5B

AFM-4.5B is a 4.5 billion parameter instruction-tuned language model developed by Arcee AI. The model was pretrained on approximately 8 trillion tokens, including 6.5 trillion tokens of general data and 1.5 trillion tokens with an emphasis on mathematical reasoning and code generation.

Text

Context

65.5K

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

arcee-ai/afm-4.5b

Text

Unknown provider

OpenGVLab: InternVL3 78B

The InternVL3 series is an advanced multimodal large language model (MLLM). Compared to InternVL 2.5, InternVL3 demonstrates stronger multimodal perception and reasoning capabilities. In addition, InternVL3 is benchmarked against the Qwen2.5 Chat models, whose pre-trained base models serve as the initialization for its language component. Benefiting from Native Multimodal Pre-Training, the InternVL3 series surpasses the Qwen2.5 series in overall text performance.

TextImage

Context

N/A

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

opengvlab/internvl3-78b

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic planning, and reports strong results across knowledge, reasoning, coding, alignment, and multilingual evaluations. Compared with prior Qwen3 variants, it emphasizes stability under long chains of thought and efficient scaling during inference, and it is tuned to follow complex instructions while reducing repetitive or off-task behavior. The model is suitable for agent frameworks and tool use (function calling), retrieval-heavy workflows, and standardized benchmarking where step-by-step solutions are required. It supports long, detailed completions and leverages throughput-oriented techniques (e.g., multi-token prediction) for faster generation. Note that it operates in thinking-only mode.

Text

Context

131.1K

Group

Qwen3

Pricing preview

Input Price: $0.0975 /M tokens

Output Price: $0.78 /M tokens

Slug

qwen/qwen3-next-80b-a3b-thinking

Text

Venice (Beta)

Qwen: Qwen3 Next 80B A3B Instruct (free)

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual use, while remaining robust on alignment and formatting. Compared with prior Qwen3 instruct variants, it focuses on higher throughput and stability on ultra-long inputs and multi-turn dialogues, making it well-suited for RAG, tool use, and agentic workflows that require consistent final answers rather than visible chain-of-thought. The model employs scaling-efficient training and decoding to improve parameter efficiency and inference speed, and has been validated on a broad set of public benchmarks where it reaches or approaches larger Qwen3 systems in several categories while outperforming earlier mid-sized baselines. It is best used as a general assistant, code helper, and long-context task solver in production settings where deterministic, instruction-following outputs are preferred.

Text

Context

262.1K

Group

Qwen3

Pricing preview

Input Price: $0 /M tokens

Output Price: $0 /M tokens

Slug

qwen/qwen3-next-80b-a3b-instruct

Text

DeepInfra

Qwen: Qwen3 Next 80B A3B Instruct

Text

Context

262.1K

Group

Qwen3

Pricing preview

Input Price: $0.09 /M tokens

Output Price: $1.1 /M tokens

Slug

qwen/qwen3-next-80b-a3b-instruct

Text

Unknown provider

Meituan: LongCat Flash Chat

LongCat-Flash-Chat is a large-scale Mixture-of-Experts (MoE) model with 560B total parameters, of which 18.6B–31.3B (≈27B on average) are dynamically activated per input. It introduces a shortcut-connected MoE design to reduce communication overhead and achieve high throughput while maintaining training stability through advanced scaling strategies such as hyperparameter transfer, deterministic computation, and multi-stage optimization. This release, LongCat-Flash-Chat, is a non-thinking foundation model optimized for conversational and agentic tasks. It supports long context windows up to 128K tokens and shows competitive performance across reasoning, coding, instruction following, and domain benchmarks, with particular strengths in tool use and complex multi-step interactions.

Text

Context

131.1K

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

meituan/longcat-flash-chat

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen Plus 0728 (thinking)

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Text

Context

Group

Qwen3

Pricing preview

Input Price: $0.26 /M tokens

Output Price: $0.78 /M tokens

Slug

qwen/qwen-plus-2025-07-28

TextReasoning

Alibaba Cloud Int.

Qwen: Qwen Plus 0728

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

Text

Context

Group

Qwen3

Pricing preview

Input Price: $0.26 /M tokens

Output Price: $0.78 /M tokens

Slug

qwen/qwen-plus-2025-07-28

TextReasoning

NVIDIA

NVIDIA: Nemotron Nano 9B V2 (free)

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.

Text

Context

128K

Group

Other

Pricing preview

Input Price: $0 /M tokens

Output Price: $0 /M tokens

Slug

nvidia/nemotron-nano-9b-v2

TextReasoning

DeepInfra

NVIDIA: Nemotron Nano 9B V2

Text

Context

131.1K

Group

Other

Pricing preview

Input Price: $0.04 /M tokens

Output Price: $0.16 /M tokens

Slug

nvidia/nemotron-nano-9b-v2

Text

SiliconFlow

MoonshotAI: Kimi K2 0905

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k. This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. Kimi K2 is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. It excels across coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) benchmarks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.

Text

Context

262.1K

Group

Other

Pricing preview

Input Price: $0.4 /M tokens

Output Price: $2 /M tokens

Slug

moonshotai/kimi-k2-0905

TextReasoning

Unknown provider

ByteDance: Seed OSS 36B Instruct

Seed-OSS-36B-Instruct is a 36B-parameter instruction-tuned reasoning language model from ByteDance’s Seed team, released under Apache-2.0. The model is optimized for general instruction following with strong performance in reasoning, mathematics, coding, tool use/agentic workflows, and multilingual tasks, and is intended for international (i18n) use cases. It is not currently possible to control the reasoning effort.

Text

Context

131.1K

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

bytedance/seed-oss-36b-instruct

TextReasoning

Unknown provider

Cogito V2 Preview Llama 109B

An instruction-tuned, hybrid-reasoning Mixture-of-Experts model built on Llama-4-Scout-17B-16E. Cogito v2 can answer directly or engage an extended “thinking” phase, with alignment guided by Iterated Distillation & Amplification (IDA). It targets coding, STEM, instruction following, and general helpfulness, with stronger multilingual, tool-calling, and reasoning performance than size-equivalent baselines. The model supports long-context use (up to 10M tokens) and standard Transformers workflows. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)

TextImage

Context

131.1K

Group

Llama4

Pricing preview

No display pricing published in the current snapshot.

Slug

deepcogito/cogito-v2-preview-llama-109b-moe

TextReasoning

Unknown provider

Deep Cogito: Cogito V2 Preview Deepseek 671B

Cogito v2 is a multilingual, instruction-tuned Mixture of Experts (MoE) large language model with 671 billion parameters. It supports both standard and reasoning-based generation modes. The model introduces hybrid reasoning via Iterated Distillation and Amplification (IDA)—an iterative self-improvement strategy designed to scale alignment with general intelligence. Cogito v2 has been optimized for STEM, programming, instruction following, and tool use. It supports 128k context length and offers strong performance in both multilingual and code-heavy environments. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)

Text

Context

131.1K

Group

DeepSeek

Pricing preview

No display pricing published in the current snapshot.

Slug

deepcogito/cogito-v2-preview-deepseek-671b

TextReasoning

Unknown provider

StepFun: Step3

Step3 is a cutting-edge multimodal reasoning model—built on a Mixture-of-Experts architecture with 321B total parameters and 38B active. It is designed end-to-end to minimize decoding costs while delivering top-tier performance in vision–language reasoning. Through the co-design of Multi-Matrix Factorization Attention (MFA) and Attention-FFN Disaggregation (AFD), Step3 maintains exceptional efficiency across both flagship and low-end accelerators.

TextImage

Context

65.5K

Group

Other

Pricing preview

No display pricing published in the current snapshot.

Slug

stepfun-ai/step3

TextReasoning

AtlasCloud

Qwen: Qwen3 30B A3B Thinking 2507

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated from final answers. Compared to earlier Qwen3-30B releases, this version improves performance across logical reasoning, mathematics, science, coding, and multilingual benchmarks. It also demonstrates stronger instruction following, tool use, and alignment with human preferences. With higher reasoning efficiency and extended output budgets, it is best suited for advanced research, competitive problem solving, and agentic applications requiring structured long-context reasoning.

Text

Context

131.1K

Group

Qwen3

Pricing preview

Input Price: $0.08 /M tokens

Output Price: $0.4 /M tokens

Slug

qwen/qwen3-30b-a3b-thinking-2507

TextReasoning

xAI

xAI: Grok Code Fast 1

Grok Code Fast 1 is a speedy and economical reasoning model that excels at agentic coding. With reasoning traces visible in the response, developers can steer Grok Code for high-quality work flows.

Text

Context

256K

Group

Grok

Pricing preview

Input Price: $0.2 /M tokens

Output Price: $1.5 /M tokens

Slug

x-ai/grok-code-fast-1

TextReasoning

Nebius Token Factory

Nous: Hermes 4 70B

Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowing the model to either respond directly or generate explicit <think>...</think> reasoning traces before answering. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) This 70B variant is trained with the expanded post-training corpus (~60B tokens) emphasizing verified reasoning data, leading to improvements in mathematics, coding, STEM, logic, and structured outputs while maintaining general assistant performance. It supports JSON mode, schema adherence, function calling, and tool use, and is designed for greater steerability with reduced refusal rates.

Text

Context

131.1K

Group

Llama3

Pricing preview

Input Price: $0.13 /M tokens

Output Price: $0.4 /M tokens

Slug

nousresearch/hermes-4-70b

TextReasoning

Nebius Token Factory

Nous: Hermes 4 405B

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with <think>...</think> traces or respond directly, offering flexibility between speed and depth. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model is instruction-tuned with an expanded post-training corpus (~60B tokens) emphasizing reasoning traces, improving performance in math, code, STEM, and logical reasoning, while retaining broad assistant utility. It also supports structured outputs, including JSON mode, schema adherence, function calling, and tool use. Hermes 4 is trained for steerability, lower refusal rates, and alignment toward neutral, user-directed behavior.

Text

Context

131.1K

Group

Other

Pricing preview

Input Price: $1 /M tokens

Output Price: $3 /M tokens

Slug

nousresearch/hermes-4-405b

Image

Unknown provider

Google: Gemini 2.5 Flash Image Preview (Nano Banana)

Gemini 2.5 Flash Image Preview, a.k.a. "Nano Banana," is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations.

ImageText

Context

32.8K

Group

Gemini

Pricing preview

No display pricing published in the current snapshot.

Slug

google/gemini-2.5-flash-image-preview

TextReasoning

SambaNova High Throughput

DeepSeek: DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. It succeeds the [DeepSeek V3-0324](/deepseek/deepseek-chat-v3-0324) model and performs well on a variety of tasks.

Text

Context

32.8K

Group

DeepSeek

Pricing preview

Input Price: $0.15 /M tokens

Output Price: $0.75 /M tokens

Slug

deepseek/deepseek-chat-v3.1

Text

Unknown provider

DeepSeek: DeepSeek V3.1 Base

This is a base model, trained only for raw next-token prediction. Unlike instruct/chat models, it has not been fine-tuned to follow user instructions. Prompts need to be written more like training text or examples rather than simple requests (e.g., “Translate the following sentence…” instead of just “Translate this”). DeepSeek-V3.1 Base is a 671B parameter open Mixture-of-Experts (MoE) language model with 37B active parameters per forward pass and a context length of 128K tokens. Trained on 14.8T tokens using FP8 mixed precision, it achieves high training efficiency and stability, with strong performance across language, reasoning, math, and coding tasks.

Text

Context

163.8K

Group

DeepSeek

Pricing preview

No display pricing published in the current snapshot.

Slug

deepseek/deepseek-v3.1-base

Text

Mistral

Mistral: Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases. The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.

TextImage

Context

131.1K

Group

Mistral

Pricing preview

Input Price: $0.4 /M tokens

Output Price: $2 /M tokens

Slug

mistralai/mistral-medium-3.1

TextReasoning

NovitaAI

Baidu: ERNIE 4.5 21B A3B

A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures and modality-isolated routing. Supporting an extensive 131K token context length, the model achieves efficient inference via multi-expert parallel collaboration and quantization, while advanced post-training techniques including SFT, DPO, and UPO ensure optimized performance across diverse applications with specialized routing and balancing losses for superior task handling.

Text

Context

120K

Group

Other

Pricing preview

Input Price: $0.07 /M tokens

Output Price: $0.28 /M tokens

Slug

baidu/ernie-4.5-21b-a3b

TextReasoning

NovitaAI

Baidu: ERNIE 4.5 VL 28B A3B

A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, delivering exceptional text and vision understanding through its innovative heterogeneous MoE structure with modality-isolated routing. Built with scaling-efficient infrastructure for high-throughput training and inference, the model leverages advanced post-training techniques including SFT, DPO, and UPO for optimized performance, while supporting an impressive 131K context length and RLVR alignment for superior cross-modal reasoning and generation capabilities.

TextImage

Context

30K

Group

Other

Pricing preview

Input Price: $0.14 /M tokens

Output Price: $0.56 /M tokens

Slug

baidu/ernie-4.5-vl-28b-a3b

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