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 14 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.
Mistral
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Context
262.1K
Group
Mistral
Pricing preview
Input Price: $0.5 /M tokens
Output Price: $1.5 /M tokens
Slug
mistralai/mistral-large-2512
Unknown provider
Olmo 3 7B Instruct is a supervised instruction-fine-tuned variant of the Olmo 3 7B base model, optimized for instruction-following, question-answering, and natural conversational dialogue. By leveraging high-quality instruction data and an open training pipeline, it delivers strong performance across everyday NLP tasks while remaining accessible and easy to integrate. Developed by Ai2 under the Apache 2.0 license, the model offers a transparent, community-friendly option for instruction-driven applications.
Context
65.5K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
allenai/olmo-3-7b-instruct
Unknown provider
This model was an early snapshot of Grok 4.1 Fast with reasoning enabled. Try the official launch of Grok 4.1 Fast [here](/x-ai/grok-4.1-fast) This is a cloaked model provided to the community to gather feedback. A frontier reasoning model that excels at tool calling, with a 1.8M context window and multimodal support. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
1.8M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/sherlock-think-alpha
Unknown provider
This model was an early snapshot of Grok 4.1 Fast with reasoning disabled. Try the official launch of Grok 4.1 Fast [here](/x-ai/grok-4.1-fast) This is a cloaked model provided to the community to gather feedback. A frontier non-reasoning model that excels at tool calling, with a 1.8M context window and multimodal support. **Note:** All prompts and completions for this model are logged by the provider and may be used to improve the model.
Context
1.8M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/sherlock-dash-alpha
Unknown provider
This model was an early snapshot of GPT-5.1 with reasoning effort set to minimal. Try the official launch of GPT-5.1 [here](/openai/gpt-5.1) This is a cloaked model provided to the community to gather feedback. A powerful, general-purpose model that excels across real-world tasks, with standout performance in coding, tool calling, and instruction following. **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/polaris-alpha
Together
Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This model is trained using self play with reinforcement learning to reach state-of-the-art performance on multiple categories (instruction following, coding, longer queries and creative writing). This advanced system demonstrates significant progress toward scalable superintelligence through policy improvement.
Context
128K
Group
Other
Pricing preview
Input Price: $1.25 /M tokens
Output Price: $1.25 /M tokens
Slug
deepcogito/cogito-v2.1-671b
DeepInfra
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and large-scale data search.
Context
512
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
intfloat/multilingual-e5-large
DeepInfra
The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring, retrieval and clustering.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
intfloat/e5-base-v2
DeepInfra
The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic search, reranking, and similarity-scoring tasks.
Context
512
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
intfloat/e5-large-v2
DeepInfra
The gte-large embedding model converts English sentences, paragraphs and moderate-length documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for information retrieval, semantic textual similarity, reranking and clustering tasks. Trained via multi-stage contrastive learning on a large domain-diverse relevance corpus, it offers excellent performance across general-purpose embedding use-cases.
Context
512
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
thenlper/gte-large
DeepInfra
The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
thenlper/gte-base
DeepInfra
The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.
Context
8.2K
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
baai/bge-m3
DeepInfra
The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks in English.
Context
512
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
baai/bge-large-en-v1.5
DeepInfra
The multi-qa-mpnet-base-dot-v1 embedding model transforms sentences and short paragraphs into a 768-dimensional dense vector space, generating high-quality semantic embeddings optimized for question-and-answer retrieval, semantic search, and similarity-scoring across diverse content.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
sentence-transformers/multi-qa-mpnet-base-dot-v1
DeepInfra
The bge-base-en-v1.5 embedding model converts English sentences and paragraphs into 768-dimensional dense vectors, delivering efficient, high-quality semantic embeddings optimized for retrieval, semantic search, and document-matching workflows. This version (v1.5) features improved similarity-score distribution and stronger retrieval performance out of the box.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
baai/bge-base-en-v1.5
DeepInfra
The all-MiniLM-L12-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, clustering, and similarity-scoring.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
sentence-transformers/all-minilm-l12-v2
DeepInfra
The paraphrase-MiniLM-L6-v2 embedding model converts sentences and short paragraphs into a 384-dimensional dense vector space, producing high-quality semantic embeddings optimized for paraphrase detection, semantic similarity scoring, clustering, and lightweight retrieval tasks.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
sentence-transformers/paraphrase-minilm-l6-v2
DeepInfra
The all-MiniLM-L6-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, enabling high-quality semantic representations that are ideal for downstream tasks such as information retrieval, clustering, similarity scoring, and text ranking.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
sentence-transformers/all-minilm-l6-v2
DeepInfra
The all-mpnet-base-v2 embedding model encodes sentences and short paragraphs into a 768-dimensional dense vector space, providing high-fidelity semantic embeddings well suited for tasks like information retrieval, clustering, similarity scoring, and text ranking.
Context
512
Group
Other
Pricing preview
Input Price: $0.005 /M tokens
Slug
sentence-transformers/all-mpnet-base-v2
Unknown provider
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.
Context
8.2K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
qwen/qwen3-embedding-0.6b
Amazon Bedrock
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
Context
1M
Group
Nova
Pricing preview
Input Price: $2.5 /M tokens
Output Price: $12.5 /M tokens
Slug
amazon/nova-premier-v1
Mistral
Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively capture semantic relationships in text.
Context
8.2K
Group
Mistral
Pricing preview
Input Price: $0.1 /M tokens
Slug
mistralai/mistral-embed-2312
Google AI Studio
gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark (MTEB) Multilingual leaderboard since the experimental launch in March.
Context
20K
Group
Gemini
Pricing preview
Input Price: $0.15 /M tokens
Slug
google/gemini-embedding-001
Mistral
Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.
Context
8.2K
Group
Mistral
Pricing preview
Input Price: $0.15 /M tokens
Slug
mistralai/codestral-embed-2505
Mistral
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio is priced at $100 per million seconds.
Context
32K
Group
Mistral
Pricing preview
Input Price: $0.1 /M tokens
Output Price: $0.3 /M tokens
Slug
mistralai/voxtral-small-24b-2507
Nebius Token Factory
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.
Context
32K
Group
Other
Pricing preview
Input Price: $0.01 /M tokens
Slug
qwen/qwen3-embedding-8b
DeepInfra
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.
Context
32.8K
Group
Other
Pricing preview
Input Price: $0.02 /M tokens
Slug
qwen/qwen3-embedding-4b
Unknown provider
This model has been revealed as NVIDIA Nemotron Nano 2 VL. It continues to be offered for free by NVIDIA [here](https://openrouter.ai/nvidia/nemotron-nano-12b-v2-vl:free). This is a small reasoning VLM trained for image understanding. It's strengths include multi-image comprehension (6+ images), especially those containing charts and text. This is a cloaked model provided to the community to gather feedback. Note: All prompts and output are logged to improve the provider’s model and its product and services. Please do not upload any personal, confidential, or otherwise sensitive information. This is a trial use only. Do not use for production or business-critical systems.
Context
128K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/andromeda-alpha
Cloudflare
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long context tool calling.
Context
131K
Group
Other
Pricing preview
Input Price: $0.017 /M tokens
Output Price: $0.11 /M tokens
Slug
ibm-granite/granite-4.0-h-micro
Unknown provider
Cogito v2 405B is a dense hybrid reasoning model that combines direct answering capabilities with advanced self-reflection. It represents a significant step toward frontier intelligence with dense architecture delivering performance competitive with leading closed models. This advanced reasoning system combines policy improvement with massive scale for exceptional capabilities.
Context
131.1K
Group
Llama3
Pricing preview
No display pricing published in the current snapshot.
Slug
deepcogito/cogito-v2-preview-llama-405b
NovitaAI
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization. The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.
Context
131.1K
Group
Qwen3
Pricing preview
Input Price: $0.08 /M tokens
Output Price: $0.5 /M tokens
Slug
qwen/qwen3-vl-8b-instruct
Relace
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 10,000 tokens/sec on average. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update> Zero Data Retention is enabled for Relace. Learn more about this model in their [documentation](https://docs.relace.ai/api-reference/instant-apply/apply)
Context
256K
Group
Other
Pricing preview
Input Price: $0.85 /M tokens
Output Price: $1.25 /M tokens
Slug
relace/relace-apply-3
Unknown provider
This is a cloaked model provided to the community to gather feedback. A fast and intelligent general-purpose frontier model with a 2 million token context window. Supports image inputs and parallel tool calling. Note: It’s free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Context
2M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/sonoma-dusk-alpha
Unknown provider
This is a cloaked model provided to the community to gather feedback. A maximally intelligent general-purpose frontier model with a 2 million token context window. Supports image inputs and parallel tool calling. Note: It’s free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Context
2M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/sonoma-sky-alpha
Unknown provider
Cogito v2 70B is a dense hybrid reasoning model that combines direct answering capabilities with advanced self-reflection. Built with iterative policy improvement, it delivers strong performance across reasoning tasks while maintaining efficiency through shorter reasoning chains and improved intuition.
Context
131.1K
Group
Llama3
Pricing preview
No display pricing published in the current snapshot.
Slug
deepcogito/cogito-v2-preview-llama-70b
Unknown provider
This is a cloaked model provided to the community to gather feedback. This is an improved version of [Horizon Alpha](/openrouter/horizon-alpha) Note: It’s free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Context
256K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/horizon-beta
Unknown provider
This was a cloaked model provided to the community to gather feedback. It has been deprecated - see [Horizon Beta](/openrouter/horizon-beta). Note: It’s free to use during this testing period, and prompts and completions are logged by the model creator for feedback and training.
Context
256K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/horizon-alpha
Switchpoint
Switchpoint AI's router instantly analyzes your request and directs it to the optimal AI from an ever-evolving library. As the world of LLMs advances, our router gets smarter, ensuring you always benefit from the industry's newest models without changing your workflow. This model is configured for a simple, flat rate per response here on OpenRouter. It's powered by the full routing engine from [Switchpoint AI](https://www.switchpoint.dev).
Context
131.1K
Group
Other
Pricing preview
Input Price: $0.85 /M tokens
Output Price: $3.4 /M tokens
Slug
switchpoint/router
Morph
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update> Zero Data Retention is enabled for Morph. Learn more about this model in their [documentation](https://docs.morphllm.com/quickstart)
Context
262.1K
Group
Other
Pricing preview
Input Price: $0.9 /M tokens
Output Price: $1.9 /M tokens
Slug
morph/morph-v3-large
Morph
Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update> Zero Data Retention is enabled for Morph. Learn more about this model in their [documentation](https://docs.morphllm.com/quickstart)
Context
81.9K
Group
Other
Pricing preview
Input Price: $0.8 /M tokens
Output Price: $1.2 /M tokens
Slug
morph/morph-v3-fast
Unknown provider
This is a cloaked model provided to the community to gather feedback. It's an all-purpose model supporting real-world, long-context tasks including code generation. Note: All prompts and completions for this model are logged by the provider and may be used to improve the model and other products and services. You remain responsible for any required end user notices and consents and for ensuring that no personal, confidential, or otherwise sensitive information, including data from individuals under the age of 18, is submitted.
Context
1M
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
openrouter/cypher-alpha
Unknown provider
Morph Apply is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 4000+ tokens per second. The model requires the prompt to be in the following format: <code>${originalCode}</code>\n<update>${updateSnippet}</update> Learn more about this model in their [documentation](https://docs.morphllm.com/)
Context
32K
Group
Other
Pricing preview
No display pricing published in the current snapshot.
Slug
morph/morph-v2
Unknown provider
This is a cloaked model provided to the community to gather feedback. It's geared toward real world use cases, including programming. **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/optimus-alpha
Unknown provider
This is a cloaked model provided to the community to gather feedback. It’s a powerful, all-purpose model supporting long-context tasks, including code generation. **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/quasar-alpha
Perplexity
Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for advanced use cases, it supports in-depth, multi-step queries with a larger context window and can surface more citations per search, enabling more comprehensive and extensible responses.
Context
128K
Group
Other
Pricing preview
Input Price: $2 /M tokens
Output Price: $8 /M tokens
Slug
perplexity/sonar-reasoning-pro
Perplexity
Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like double the number of citations per search as Sonar on average. Plus, with a larger context window, it can handle longer and more nuanced searches and follow-up questions.
Context
200K
Group
Other
Pricing preview
Input Price: $3 /M tokens
Output Price: $15 /M tokens
Slug
perplexity/sonar-pro
Perplexity
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers information. This enables comprehensive report generation across domains like finance, technology, health, and current events. Notes on Pricing ([Source](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-deep-research)) - Input tokens comprise of Prompt tokens (user prompt) + Citation tokens (these are processed tokens from running searches) - Deep Research runs multiple searches to conduct exhaustive research. Searches are priced at $5/1000 searches. A request that does 30 searches will cost $0.15 in this step. - Reasoning is a distinct step in Deep Research since it does extensive automated reasoning through all the material it gathers during its research phase. Reasoning tokens here are a bit different than the CoTs in the answer - these are tokens that we use to reason through the research material prior to generating the outputs via the CoTs. Reasoning tokens are priced at $3/1M tokens
Context
128K
Group
Other
Pricing preview
Input Price: $2 /M tokens
Output Price: $8 /M tokens
Slug
perplexity/sonar-deep-research
Unknown provider
R1 1776 is a version of DeepSeek-R1 that has been post-trained to remove censorship constraints related to topics restricted by the Chinese government. The model retains its original reasoning capabilities while providing direct responses to a wider range of queries. R1 1776 is an offline chat model that does not use the perplexity search subsystem. The model was tested on a multilingual dataset of over 1,000 examples covering sensitive topics to measure its likelihood of refusal or overly filtered responses. [Evaluation Results](https://cdn-uploads.huggingface.co/production/uploads/675c8332d01f593dc90817f5/GiN2VqC5hawUgAGJ6oHla.png) Its performance on math and reasoning benchmarks remains similar to the base R1 model. [Reasoning Performance](https://cdn-uploads.huggingface.co/production/uploads/675c8332d01f593dc90817f5/n4Z9Byqp2S7sKUvCvI40R.png) Read more on the [Blog Post](https://perplexity.ai/hub/blog/open-sourcing-r1-1776)
Context
128K
Group
DeepSeek
Pricing preview
No display pricing published in the current snapshot.
Slug
perplexity/r1-1776
Need a model request?
If a model matters for your product, send the slug, expected traffic, target region, and latency expectations. The team can confirm support status, onboarding priority, or a migration path to an equivalent route on ImaRouter.
Contact
support@imarouter.com
Best for model availability questions, onboarding priority, routing strategy, and enterprise rollout planning.
