Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
No provider description is available for this model yet.
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...
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Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
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MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Qwen: Qwen3.8 27Bqwen/qwen3.8-27b | Alibaba Qwen |
262.144K | $0.214 | $2.55 | — | ||
| OpenAI: GPT-5.5 (batch)openai/gpt-5.5:batch | OpenAI |
1.05M | $2.5 | $15 | — | ||
| Qwen: Qwen3 235B A22B Thinking 2507qwen/qwen3-235b-a22b-thinking-2507 | Alibaba Qwen |
131.072K | $0.23 | $2.3 | — | ||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | OpenAI |
1.05M | $1.25 | $7.5 | — | ||
| OpenAI: GPT-5.2 (batch)openai/gpt-5.2:batch | OpenAI |
400K | $0.875 | $7 | — | ||
| OpenAI: GPT-5 Pro (batch)openai/gpt-5-pro:batch | OpenAI |
400K | $7.5 | $60 | — | ||
| Qwen: Qwen3.8 Max (0902)qwen/qwen3.8-max-0902 | Alibaba Qwen |
1M | $2 | $6 | — | ||
| Qwen/Qwen-Drive-1.0-4BQwen/Qwen-Drive-1.0-4B | Alibaba Qwen |
Not documented | — | — | — | ||
| DeepSeek: DeepSeek V3.2 Expdeepseek/deepseek-v3.2-exp | DeepSeek |
163.84K | $0.27 | $0.41 | — | ||
| nvidia/NVIDIA-NemotronLabs-AI-for-Media-Sports-Tennisnvidia/NVIDIA-NemotronLabs-AI-for-Media-Sports-Tennis | NVIDIA |
Not documented | — | — | — | ||
| deepseek-ai/DeepSeek-V4.1-Flashdeepseek-ai/DeepSeek-V4.1-Flash | DeepSeek |
Not documented | — | — | — | ||
| gpt-chat-latestazure/gpt-chat-latest | Azure |
272K | $5 | $30 | — | ||
| chat-latestazure/chat-latest | Azure |
272K | $5 | $30 | — | ||
| us/gpt-chat-latestazure/us/gpt-chat-latest | Azure |
272K | $5.5 | $33 | — | ||
| Google: Gemini 3.7 Flash (batch)google/gemini-3.7-flash:batch | Google |
1.04858M | $0.375 | $1.875 | — | ||
| global.twelvelabs.pegasus-1-2-v1:0bedrock/global.twelvelabs.pegasus-1-2-v1:0 | Not documented | — | $7.5 | — | |||
| gpt-chat-latestazure_ai/gpt-chat-latest | 272K | $5 | $30 | — | |||
| model-routerazure_ai/model-router | 200K | $0.14 | — | — | |||
| cohere-command-aazure_ai/cohere-command-a | 131.072K | $2.5 | $10 | — | |||
| xai/grok-4.3vertex_ai/xai/grok-4.3 | 200K | $1.25 | $2.5 | — | |||
| grok-4-20-reasoningazure_ai/grok-4-20-reasoning | 262K | $1.25 | $2.5 | — | |||
| xai/grok-4.6vertex_ai/xai/grok-4.6 | 524.288K | $2 | $6 | — | |||
| grok-4-20-non-reasoningazure_ai/grok-4-20-non-reasoning | 262K | $1.25 | $2.5 | — | |||
| us.openai.gpt-6-astrabedrock_converse/us.openai.gpt-6-astra | 1.05M | $11 | $55 | — | |||
| global.openai.gpt-6-astrabedrock_converse/global.openai.gpt-6-astra | 1.05M | $10 | $50 | — | |||
| lyria-3.5gemini/lyria-3.5 | 1.04858M | — | — | — | |||
| gpt-6-astraazure/gpt-6-astra | Azure |
922K | $10 | $50 | — | ||
| us/gpt-6-astraazure/us/gpt-6-astra | Azure |
922K | $11 | $55 | — | ||
| Codestral-2501azure_ai/codestral-2501 | 256K | $0.3 | $0.9 | — | |||
| FW-Nemotron-Lightning-3.5-30B-A3Bazure_ai/fw-nemotron-lightning-3.5-30b-a3b | 262.144K | $0.06 | $0.22 | — | |||
| MAI-Thinking-1azure_ai/mai-thinking-1 | 256K | $2 | $8 | — | |||
| grok-4.6azure_ai/grok-4.6 | 200K | $2 | $6 | — | |||
| databricks-claude-fable-5-1databricks/databricks-claude-fable-5-1 | Databricks |
1M | $10 | $50 | — | ||
| databricks-gemini-3-1-flash-imagedatabricks/databricks-gemini-3-1-flash-image | Databricks |
131.072K | — | — | — | ||
| databricks-gemini-3-pro-imagedatabricks/databricks-gemini-3-pro-image | Databricks |
65.536K | — | — | — | ||
| databricks-gemini-3-8-flashdatabricks/databricks-gemini-3-8-flash | Databricks |
1.04858M | — | — | — | ||
| databricks-gemini-3-7-flashdatabricks/databricks-gemini-3-7-flash | Databricks |
1.04858M | — | — | — | ||
| MiniMax: MiniMax M2minimax/minimax-m2 | MiniMax |
204.8K | $0.255 | $1.02 | — | ||
| databricks-gemini-3-6-flashdatabricks/databricks-gemini-3-6-flash | Databricks |
1.04858M | $1.875 | $9.375 | — | ||
| databricks-gemini-3-5-flashdatabricks/databricks-gemini-3-5-flash | Databricks |
1.04858M | $1.875 | $11.25 | — | ||
| databricks-gemini-3-5-flash-litedatabricks/databricks-gemini-3-5-flash-lite | Databricks |
1.04858M | $0.375 | $3.125 | — | ||
| databricks-glm-5-3databricks/databricks-glm-5-3 | Databricks |
1.04858M | $1.4 | $4.4 | — | ||
| databricks-gpt-5-6-soldatabricks/databricks-gpt-5-6-sol | Databricks |
922K | $4 | $20 | — | ||
| databricks-gpt-5-6-terradatabricks/databricks-gpt-5-6-terra | Databricks |
922K | $2.5 | $15 | — | ||
| databricks-gpt-5-6-lunadatabricks/databricks-gpt-5-6-luna | Databricks |
922K | $1 | $6 | — | ||
| databricks-grok-4-6databricks/databricks-grok-4-6 | Databricks |
500K | $2.5 | $7.5 | — | ||
| databricks-inklingdatabricks/databricks-inkling | Databricks |
1M | $1 | $4.05 | — | ||
| databricks-qwen35-122b-a10bdatabricks/databricks-qwen35-122b-a10b | Databricks |
262.144K | $0.22 | $2.2 | — | ||
| databricks-qwen3-next-80b-a3b-instructdatabricks/databricks-qwen3-next-80b-a3b-instruct | Databricks |
Not documented | $0.15 | $1.2 | — | ||
| deepseek-ai/DeepSeek-V4-Flashnebius/deepseek-ai/deepseek-v4-flash | Nebius |
1.04858M | $0.14 | $0.28 | — |