Models
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.
Results
Snapshot source: OpenRouter. Synced April 21, 2026 at 8:00 AM. Page 12 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.
OpenAI
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Context
16.4K
Group
GPT
Pricing preview
Input Price: $0.5 /M tokens
Output Price: $1.5 /M tokens
Slug
openai/gpt-3.5-turbo
Perplexity
pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency embedding generation.
Context
32K
Group
Other
Pricing preview
Input Price: $0.004 /M tokens
Slug
perplexity/pplx-embed-v1-0.6b
Perplexity
pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter model maximizing retrieval quality.
Context
32K
Group
Other
Pricing preview
Input Price: $0.03 /M tokens
Slug
perplexity/pplx-embed-v1-4b
Alibaba Cloud Int.
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text comprehension, enabling fine-grained spatial reasoning, document and scene analysis, and long-horizon video understanding.Robust OCR in 32 languages, and enhanced multimodal fusion through Interleaved-MRoPE and DeepStack architectures. Optimized for agentic interaction and visual tool use, Qwen3-VL-32B delivers state-of-the-art performance for complex real-world multimodal tasks.
Context
131.1K
Group
Qwen
Pricing preview
Input Price: $0.104 /M tokens
Output Price: $0.416 /M tokens
Slug
qwen/qwen3-vl-32b-instruct
Chutes
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers state-of-the-art performance comparable to leading-edge models across a wide range of tasks, including language understanding, logical reasoning, code generation, agent-based tasks, image understanding, video understanding, and graphical user interface (GUI) interactions. With its robust code-generation and agent capabilities, the model exhibits strong generalization across diverse agent.
Context
262.1K
Group
Qwen3
Pricing preview
Input Price: $0.39 /M tokens
Output Price: $2.34 /M tokens
Slug
qwen/qwen3.5-397b-a17b
Alibaba Cloud Int.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B.
Context
262.1K
Group
Qwen3
Pricing preview
Input Price: $0.26 /M tokens
Output Price: $2.08 /M tokens
Slug
qwen/qwen3.5-122b-a10b
Alibaba Cloud Int.
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of the Qwen3.5-122B-A10B.
Context
262.1K
Group
Qwen3
Pricing preview
Input Price: $0.195 /M tokens
Output Price: $1.56 /M tokens
Slug
qwen/qwen3.5-27b
Alibaba Cloud Int.
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall performance is comparable to that of the Qwen3.5-27B.
Context
262.1K
Group
Qwen3
Pricing preview
Input Price: $0.1625 /M tokens
Output Price: $1.3 /M tokens
Slug
qwen/qwen3.5-35b-a3b
Unknown provider
Healer Alpha is a frontier omni-modal model with vision, hearing, reasoning, and action capabilities. It brings the full power of agentic intelligence into the real world: natively perceiving visual and audio inputs, reasoning across modalities, and executing complex multi-step tasks with precision and reliability. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
262.1K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/healer-alpha
Unknown provider
Hunter Alpha is a 1 Trillion parameter + 1M token context frontier intelligence model built for agentic use. It excels at long-horizon planning, complex reasoning, and sustained multi-step task execution, with the reliability and instruction-following precision that frameworks like OpenClaw need. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
1M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/hunter-alpha
NVIDIA
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
Context
262.1K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
nvidia/nemotron-3-super-120b-a12b
DekaLLM
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
Context
262.1K
Group
Other
Pricing preview
Input Price: $0.09 /M tokens
Output Price: $0.45 /M tokens
Slug
nvidia/nemotron-3-super-120b-a12b
OpenInference
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
Context
196.6K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
minimax/minimax-m2.5
Chutes
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
Context
196.6K
Group
Other
Pricing preview
Input Price: $0.15 /M tokens
Output Price: $1.2 /M tokens
Slug
minimax/minimax-m2.5
Fireworks
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.
Context
196.6K
Group
Other
Pricing preview
Input Price: $0.3 /M tokens
Output Price: $1.2 /M tokens
Slug
minimax/minimax-m2.7
Mistral
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.
Context
262.1K
Group
Mistral
Pricing preview
Input Price: $0.15 /M tokens
Output Price: $0.6 /M tokens
Slug
mistralai/mistral-small-2603
Z.ai
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.
Context
202.8K
Group
Other
Pricing preview
Input Price: $1.2 /M tokens
Output Price: $4 /M tokens
Slug
z-ai/glm-5-turbo
Seed
Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across text, vision, and tools. Engineered for high-frequency visual understanding and agentic workflows, it's an ideal choice for deployment at scale with minimal latency.
Context
262.1K
Group
Other
Pricing preview
Input Price: $0.25 /M tokens
Output Price: $2 /M tokens
Slug
bytedance-seed/seed-2.0-lite
Together
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.
Context
262.1K
Group
Qwen3
Pricing preview
Input Price: $0.1 /M tokens
Output Price: $0.15 /M tokens
Slug
qwen/qwen3.5-9b
Arcee (Prime Intellect)
Trinity-Large-Preview is a frontier-scale open-weight language model from Arcee, built as a 400B-parameter sparse Mixture-of-Experts with 13B active parameters per token using 4-of-256 expert routing. It excels in creative writing, storytelling, role-play, chat scenarios, and real-time voice assistance, better than your average reasoning model usually can. But we’re also introducing some of our newer agentic performance. It was trained to navigate well in agent harnesses like OpenCode, Cline, and Kilo Code, and to handle complex toolchains and long, constraint-filled prompts. The architecture natively supports very long context windows up to 512k tokens, with the Preview API currently served at 128k context using 8-bit quantization for practical deployment. Trinity-Large-Preview reflects Arcee’s efficiency-first design philosophy, offering a production-oriented frontier model with open weights and permissive licensing suitable for real-world applications and experimentation.
Context
131K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
arcee-ai/trinity-large-preview
Inception
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving >1,000 tokens/sec on standard GPUs. Mercury 2 is 5x+ faster than leading speed-optimized LLMs like Claude 4.5 Haiku and GPT 5 Mini, at a fraction of the cost. Mercury 2 supports tunable reasoning levels, 128K context, native tool use, and schema-aligned JSON output. Built for coding workflows where latency compounds, real-time voice/search, and agent loops. OpenAI API compatible. Read more in the [blog post](https://www.inceptionlabs.ai/blog/introducing-mercury-2).
Context
128K
Group
Other
Pricing preview
Input Price: $0.25 /M tokens
Output Price: $0.75 /M tokens
Slug
inception/mercury-2
Google AI Studio
Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference, making complex image generation and iterative edits significantly more accessible. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)
Context
65.5K
Group
Gemini
Pricing preview
Input Price: $0.5 /M tokens
Output Price: $3 /M tokens
Slug
google/gemini-3.1-flash-image-preview
Google AI Studio
Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across key capabilities. Improvements span audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.
Context
1M
Group
Gemini
Pricing preview
Input Price: $0.25 /M tokens
Output Price: $1.5 /M tokens
Slug
google/gemini-3.1-flash-lite-preview
Baidu Qianfan
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive 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)
Context
131.1K
Group
DeepSeek
Pricing preview
Input Price: $0.252 /M tokens
Output Price: $0.378 /M tokens
Slug
deepseek/deepseek-v3.2
Upstage
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized for Korean with English and Japanese support.
Context
128K
Group
Other
Pricing preview
Input Price: $0.15 /M tokens
Output Price: $0.6 /M tokens
Slug
upstage/solar-pro-3
Together
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.
Context
32.8K
Group
Other
Pricing preview
Input Price: $0.03 /M tokens
Output Price: $0.12 /M tokens
Slug
liquid/lfm-2-24b-a2b
NVIDIA
NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s memory-efficient sequence modeling for significantly higher throughput and lower latency. The model supports inputs of text and multi-image documents, producing natural-language outputs. It is trained on high-quality NVIDIA-curated synthetic datasets optimized for optical-character recognition, chart reasoning, and multimodal comprehension. Nemotron Nano 2 VL achieves leading results on OCRBench v2 and scores ≈ 74 average across MMMU, MathVista, AI2D, OCRBench, OCR-Reasoning, ChartQA, DocVQA, and Video-MME—surpassing prior open VL baselines. With Efficient Video Sampling (EVS), it handles long-form videos while reducing inference cost. Open-weights, training data, and fine-tuning recipes are released under a permissive NVIDIA open license, with deployment supported across NeMo, NIM, and major inference runtimes.
Context
128K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
nvidia/nemotron-nano-12b-v2-vl
DeepInfra
NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s memory-efficient sequence modeling for significantly higher throughput and lower latency. The model supports inputs of text and multi-image documents, producing natural-language outputs. It is trained on high-quality NVIDIA-curated synthetic datasets optimized for optical-character recognition, chart reasoning, and multimodal comprehension. Nemotron Nano 2 VL achieves leading results on OCRBench v2 and scores ≈ 74 average across MMMU, MathVista, AI2D, OCRBench, OCR-Reasoning, ChartQA, DocVQA, and Video-MME—surpassing prior open VL baselines. With Efficient Video Sampling (EVS), it handles long-form videos while reducing inference cost. Open-weights, training data, and fine-tuning recipes are released under a permissive NVIDIA open license, with deployment supported across NeMo, NIM, and major inference runtimes.
Context
131.1K
Group
Other
Pricing preview
Input Price: $0.2 /M tokens
Output Price: $0.6 /M tokens
Slug
nvidia/nemotron-nano-12b-v2-vl
NVIDIA
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.
Context
256K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
nvidia/nemotron-3-nano-30b-a3b
DeepInfra
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully open with open-weights, datasets and recipes so developers can easily customize, optimize, and deploy the model on their infrastructure for maximum privacy and security.
Context
262.1K
Group
Other
Pricing preview
Input Price: $0.05 /M tokens
Output Price: $0.2 /M tokens
Slug
nvidia/nemotron-3-nano-30b-a3b
NVIDIA
The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text combined. Documents can be retrieved given a user query in text form. The model supports images containing text, tables, charts, and infographics.
Context
131.1K
Group
Other
Pricing preview
Input Price: $0 /M tokens
Output Price: $0 /M tokens
Slug
nvidia/llama-nemotron-embed-vl-1b-v2
Seed
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding, and is optimized for lightweight tasks where cost and speed take priority.
Context
262.1K
Group
Other
Pricing preview
Input Price: $0.1 /M tokens
Output Price: $0.4 /M tokens
Slug
bytedance-seed/seed-2.0-mini
Alibaba Cloud Int.
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Context
1M
Group
Qwen3
Pricing preview
Input Price: $0.065 /M tokens
Output Price: $0.26 /M tokens
Slug
qwen/qwen3.5-flash-02-23
Google AI Studio
Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party or user-defined functions are available. This specialized preview endpoint significantly increases function calling reliability and ensures the model selects the most appropriate tool in coding agents and complex, multi-tool workflows. It retains the core strengths of Gemini 3.1 Pro, including multimodal reasoning across text, image, video, audio, and code, a 1M-token context window, and strong software engineering performance.
Context
1M
Group
Gemini
Pricing preview
Input Price: $2 /M tokens
Output Price: $12 /M tokens
Slug
google/gemini-3.1-pro-preview-customtools
AionLabs
Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging. It also handles mature and darker themes with more nuance and depth.
Context
131.1K
Group
Other
Pricing preview
Input Price: $0.8 /M tokens
Output Price: $1.6 /M tokens
Slug
aion-labs/aion-2.0
Unknown provider
This is a cloaked model provided to the community to gather feedback. A reasoning model designed for speed. It is built for coding assistants, real-time conversational applications, and agentic workflows. Default reasoning effort is set to medium for fast responses. For agentic coding use cases, we recommend changing effort to high. Note: All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
128K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/aurora-alpha
Google AI Studio
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows. Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.
Context
1M
Group
Gemini
Pricing preview
Input Price: $2 /M tokens
Output Price: $12 /M tokens
Slug
google/gemini-3.1-pro-preview
Alibaba Cloud Int.
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of task evaluations, the 3.5 series consistently demonstrates performance on par with state-of-the-art leading models. Compared to the 3 series, these models show a leap forward in both pure-text and multimodal capabilities.
Context
1M
Group
Qwen3
Pricing preview
Input Price: $0.26 /M tokens
Output Price: $1.56 /M tokens
Slug
qwen/qwen3.5-plus-02-15
MiniMax
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message roles (user_system, group, sample_message_user, sample_message_ai) and can learn from example dialogue to better match the style and pacing of your scenario, making it a strong choice for storytelling, companions, and conversational experiences where natural flow and vivid interaction matter most.
Context
65.5K
Group
Other
Pricing preview
Input Price: $0.3 /M tokens
Output Price: $1.2 /M tokens
Slug
minimax/minimax-m2-her
Ambient
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
Context
80K
Group
Other
Pricing preview
Input Price: $0.72 /M tokens
Output Price: $2.3 /M tokens
Slug
z-ai/glm-5
Unknown provider
This model was an early testing version of Mistral Large 3. Try the official launch of Mistral Large 3 [here](/mistralai/mistral-large-2512) This is a cloaked model provided to the community to gather feedback. A general-purpose multimodal model (text/image in, text out) designed for reliability, long-context comprehension, and adaptive logic. It is engineered for production-grade assistants, retrieval-augmented systems, science workloads, and complex agentic workflows. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
256K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/bert-nebulon-alpha
Unknown provider
Pony is a cutting-edge foundation model with strong performance in coding, agentic workflows, reasoning, and roleplay, making it well suited for hands-on coding and real-world use. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
200K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/pony-alpha
SiliconFlow
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts and charts directly as visual inputs, and integrates native multimodal function calling to connect perception with downstream tool execution. The model also enables interleaved image-text generation and UI reconstruction workflows, including screenshot-to-HTML synthesis and iterative visual editing.
Context
131.1K
Group
Other
Pricing preview
Input Price: $0.3 /M tokens
Output Price: $0.9 /M tokens
Slug
z-ai/glm-4.6v
DeepInfra
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Context
202.8K
Group
Other
Pricing preview
Input Price: $0.06 /M tokens
Output Price: $0.4 /M tokens
Slug
z-ai/glm-4.7-flash
DekaLLM
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.
Context
202.8K
Group
Other
Pricing preview
Input Price: $0.38 /M tokens
Output Price: $1.74 /M tokens
Slug
z-ai/glm-4.7
Alibaba Cloud Int.
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it delivers major gains in factual accuracy, complex reasoning, instruction following, alignment with human preferences, and agentic behavior.
Context
262.1K
Group
Qwen
Pricing preview
Input Price: $0.78 /M tokens
Output Price: $3.9 /M tokens
Slug
qwen/qwen3-max-thinking
Black Forest Labs
A high-end image generation and editing model focused on frontier-level visual quality and reliability. It delivers strong prompt adherence, stable lighting, sharp textures, and consistent character/style reproduction across multi-reference inputs. Designed for production workloads, it balances speed and quality while supporting text-to-image and image editing up to 4 MP resolution. Pricing is as follows, [per the docs](https://bfl.ai/pricing?category=flux.2): Input: We charge $0.015 for each megapixel on the input (i.e. reference images for editing) Output: The first megapixel is charged $0.03 and then each subsequent MP will be charged $0.015.
Context
46.9K
Group
Other
Pricing preview
Output Image: $0.03 per megapixel
Slug
black-forest-labs/flux.2-pro
Black Forest Labs
FLUX.2 [flex] excels at rendering complex text, typography, and fine details, and supports multi-reference editing in the same unified architecture. Pricing is as follows, [per the docs](https://bfl.ai/pricing?category=flux.2): We charge $0.06 for each megapixel on both input and output side.
Context
67.3K
Group
Other
Pricing preview
Input Image: $0.06 per megapixel
Output Image: $0.06 per megapixel
Slug
black-forest-labs/flux.2-flex
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