UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is designed as an “uncensored” instruct-tuned LLM, preserving...
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
Mistral Medium 3 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...
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives -...
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
The preview GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Dec 2023. **Note:** heavily rate limited by OpenAI while...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| ByteDance: UI-TARS 7B bytedance/ui-tars-1.5-7b | 128K | $0.1 | $0.2 | — | |||
| Qwen: Qwen3 235B A22B Instruct 2507qwen/qwen3-235b-a22b-2507 | 262.144K | $0.09 | $0.55 | — | |||
| Venice: Uncensored (free)cognitivecomputations/dolphin-mistral-24b-venice-edition:free | 32.768K | Free | Free | — | |||
| Tencent: Hunyuan A13B Instructtencent/hunyuan-a13b-instruct | 131.072K | $0.14 | $0.57 | — | |||
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | 128K | $0.075 | $0.2 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | 1M | $0.55 | $2.2 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 200K | $3 | $15 | — | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 131.072K | $0.4 | $2 | — | |||
| Google: Gemini 2.5 Pro Preview 05-06google/gemini-2.5-pro-preview-05-06 | 1.04858M | $1.25 | $10 | — | |||
| Arcee AI: Virtuoso Largearcee-ai/virtuoso-large | 131.072K | $0.75 | $1.2 | — | |||
| Arcee AI: Coder Largearcee-ai/coder-large | 32.768K | $0.5 | $0.8 | — | |||
| Meta: Llama Guard 4 12Bmeta-llama/llama-guard-4-12b | 163.84K | $0.18 | $0.18 | — | |||
| Qwen: Qwen3 30B A3Bqwen/qwen3-30b-a3b | 40.96K | $0.12 | $0.5 | — | |||
| Qwen: Qwen3 8Bqwen/qwen3-8b | 131.072K | $0.117 | $0.455 | — | |||
| Qwen: Qwen3 14Bqwen/qwen3-14b | 40.96K | $0.12 | $0.24 | — | |||
| Qwen: Qwen3 32Bqwen/qwen3-32b | 40.96K | $0.08 | $0.28 | — | |||
| Qwen: Qwen3 235B A22Bqwen/qwen3-235b-a22b | 131.072K | $0.455 | $1.82 | — | |||
| OpenAI: o4 Mini Highopenai/o4-mini-high | 200K | $1.1 | $4.4 | — | |||
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | 128K | $0.188 | $0.652 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 327.68K | $0.1 | $0.3 | — | |||
| Mistral: Mistral Small 3.1 24Bmistralai/mistral-small-3.1-24b-instruct | 128K | $0.351 | $0.555 | — | |||
| OpenAI: GPT-4o-mini Search Previewopenai/gpt-4o-mini-search-preview | 128K | $0.15 | $0.6 | — | |||
| OpenAI: GPT-4o Search Previewopenai/gpt-4o-search-preview | 128K | $2.5 | $10 | — | |||
| Mistral: Sabamistralai/mistral-saba | 32.768K | $0.2 | $0.6 | — | |||
| OpenAI: o3 Mini Highopenai/o3-mini-high | 200K | $1.1 | $4.4 | — | |||
| Qwen: Qwen2.5 VL 72B Instructqwen/qwen2.5-vl-72b-instruct | 128K | $0.8 | $1 | — | |||
| Qwen: Qwen-Plusqwen/qwen-plus | 1M | $0.26 | $0.78 | — | |||
| Mistral: Mistral Small 3mistralai/mistral-small-24b-instruct-2501 | 32.768K | $0.05 | $0.08 | — | |||
| MiniMax: MiniMax-01minimax/minimax-01 | 1.00019M | $0.2 | $1.1 | — | |||
| Meta: Llama 3.3 70B Instruct (free)meta-llama/llama-3.3-70b-instruct:free | 65.536K | Free | Free | — | |||
| Meta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instruct | 131.072K | $0.1 | $0.32 | — | |||
| Mistral Large 2407mistralai/mistral-large-2407 | 131.072K | $2 | $6 | — | |||
| Qwen2.5 Coder 32B Instructqwen/qwen-2.5-coder-32b-instruct | 32.768K | $0.66 | $1 | — | |||
| Qwen: Qwen2.5 7B Instructqwen/qwen-2.5-7b-instruct | 32.768K | $0.1 | $0.2 | — | |||
| TheDrummer: Rocinante 12Bthedrummer/rocinante-12b | 65.536K | $0.25 | $0.5 | — | |||
| Meta: Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | 60K | $0.027 | $0.201 | — | |||
| Meta: Llama 3.2 11B Vision Instructmeta-llama/llama-3.2-11b-vision-instruct | 131.072K | $0.345 | $0.345 | — | |||
| Meta: Llama 3.2 3B Instruct (free)meta-llama/llama-3.2-3b-instruct:free | 131.072K | Free | Free | — | |||
| Meta: Llama 3.2 3B Instructmeta-llama/llama-3.2-3b-instruct | 131.072K | $0.05 | $0.33 | — | |||
| Qwen2.5 72B Instructqwen/qwen-2.5-72b-instruct | 32.768K | $0.36 | $0.4 | — | |||
| Nous: Hermes 3 405B Instruct (free)nousresearch/hermes-3-llama-3.1-405b:free | 131.072K | Free | Free | — | |||
| Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | 131.072K | $0.05 | $0.08 | — | |||
| Meta: Llama 3.1 70B Instructmeta-llama/llama-3.1-70b-instruct | 131.072K | $0.4 | $0.4 | — | |||
| Mistral: Mistral Nemomistralai/mistral-nemo | 131.072K | $0.029 | $0.03 | — | |||
| OpenAI: GPT-4o-mini (2024-07-18)openai/gpt-4o-mini-2024-07-18 | 128K | $0.15 | $0.6 | — | |||
| Mistral: Mixtral 8x22B Instructmistralai/mixtral-8x22b-instruct | 65.536K | $2 | $6 | — | |||
| Anthropic: Claude 3 Haikuanthropic/claude-3-haiku | 200K | $0.25 | $1.25 | — | |||
| Mistral Largemistralai/mistral-large | 128K | $2 | $6 | — | |||
| OpenAI: GPT-4 Turbo Previewopenai/gpt-4-turbo-preview | 128K | $10 | $30 | — |