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Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...
Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
This model always redirects to the latest GLM model from Z.ai.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
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...
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...
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...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
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.
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...
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| FW-DeepSeek-V3.2azure_ai/fw-deepseek-v3.2 | 163.84K | $0.62 | $1.85 | — | |||
| FW-DeepSeek-V4-Proazure_ai/fw-deepseek-v4-pro | 1M | $1.925 | $3.828 | — | |||
| FW-GLM-5azure_ai/fw-glm-5 | 200K | $1.1 | $3.52 | — | |||
| FW-GLM-5.1azure_ai/fw-glm-5.1 | 202.8K | $1.54 | $4.84 | — | |||
| FW-GLM-5.2azure_ai/fw-glm-5.2 | 1.04858M | $1.54 | $4.84 | — | |||
| FW-GLM-5.2-Fastazure_ai/fw-glm-5.2-fast | 1.04858M | $2.1 | $6.6 | — | |||
| FW-Inklingazure_ai/fw-inkling | 1.04858M | $1 | $4.05 | — | |||
| FW-Kimi-K2.5azure_ai/fw-kimi-k2.5 | 262.144K | $0.66 | $3.3 | — | |||
| FW-Kimi-K2.6azure_ai/fw-kimi-k2.6 | 262.144K | $1.045 | $4.4 | — | |||
| FW-Kimi-K2.7-Codeazure_ai/fw-kimi-k2.7-code | 262.144K | $1.05 | $4.4 | — | |||
| FW-Kimi-K3azure_ai/fw-kimi-k3 | 1.04858M | $3.3 | $16.5 | — | |||
| FW-MiniMax-M2.5azure_ai/fw-minimax-m2.5 | 1M | $0.33 | $1.32 | — | |||
| FW-MiniMax-M3azure_ai/fw-minimax-m3 | 512K | $0.33 | $1.32 | — | |||
| FW-Nemotron-3-Ultra-NVFP4azure_ai/fw-nemotron-3-ultra-nvfp4 | 262.144K | $0.6 | $2.4 | — | |||
| grok-4.3azure_ai/grok-4.3 | 200K | $1.25 | $2.5 | — | |||
| Meta: Muse Spark 1.2 Contributormeta/muse-spark-1.2-contributor | Meta |
1.04858M | $0.1 | $0.2 | — | ||
| Z.ai: GLM 5.2 (free)z-ai/glm-5.2:free | Z Ai |
131.072K | Free | Free | — | ||
| IBM: Granite 4.2 8Bibm-granite/granite-4.2-8b | IBM |
131.072K | $0.06 | $0.25 | — | ||
| inclusionAI: Ling 3.0 Flash Fin (free)inclusionai/ling-3.0-flash-fin:free | 262.144K | Free | Free | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | Alibaba Qwen |
1M | $0.15 | $0.47 | — | ||
| Z.ai: GLM 5.3 Flashz-ai/glm-5.3-flash | Z Ai |
1.04858M | $0.15 | $0.5 | — | ||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | Z Ai |
1.04858M | $0.05 | $0.18 | — | ||
| Z.ai: GLM Latest~z-ai/glm-latest | Z Ai |
1.04858M | $0.07 | $1.4 | — | ||
| Z.ai: GLM 5.3z-ai/glm-5.3 | Z Ai |
1.04858M | $0.07 | $1.4 | — | ||
| Qwen: Qwen3.8 2.4T A95B (batch)qwen/qwen3.8-2.4t-a95b:batch | Alibaba Qwen |
1.01M | $2 | $6 | — | ||
| DeepSeek: DeepSeek V4 Pro 0813 (batch)deepseek/deepseek-v4-pro-0813:batch | DeepSeek |
1.04858M | $0.66 | $1.98 | — | ||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | Meta |
131.072K | $0.175 | $0.75 | — | ||
| DeepSeek: DeepSeek V4 Flash 0731 (batch)deepseek/deepseek-v4-flash-0731:batch | DeepSeek |
1.04858M | $0.11 | $0.33 | — | ||
| Thinking Machines: Inkling Small (batch)thinkingmachines/inkling-small:batch | Thinkingmachines |
524.288K | $0.5 | $1.2 | — | ||
| Thinking Machines: Inkling Small (free)thinkingmachines/inkling-small:free | Thinkingmachines |
1.04858M | Free | Free | — | ||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | Thinkingmachines |
1.04858M | Free | Free | — | ||
| MoonshotAI: Kimi K3 (batch)moonshotai/kimi-k3:batch | Moonshot AI |
1.04858M | $2.28 | $11.4 | — | ||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | MiniMax |
1.04858M | Free | Free | — | ||
| Mistral: Mistral Medium 3.5 (batch)mistralai/mistral-medium-3-5:batch | Mistral AI |
262.144K | $0.75 | $3.75 | — | ||
| Google: Gemma 4 31B (batch)google/gemma-4-31b-it:batch | Google |
262.144K | $0.39 | $0.97 | — | ||
| MiniMax: MiniMax M2.7 (free)minimax/minimax-m2.7:free | MiniMax |
196.608K | Free | Free | — | ||
| Mistral: Mistral Small 4 (batch)mistralai/mistral-small-2603:batch | Mistral AI |
262.144K | $0.075 | $0.3 | — | ||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | Alibaba Qwen |
262.144K | $0.17 | $0.25 | — | ||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | Mistral AI |
262.144K | $0.075 | $0.075 | — | ||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | Mistral AI |
262.144K | $0.25 | $0.75 | — | ||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | Mistral AI |
131.072K | $0.2 | $1 | — | ||
| OpenAI: gpt-oss-120b (batch)openai/gpt-oss-120b:batch | OpenAI |
131.072K | $0.03 | $0.136 | — | ||
| OpenAI: gpt-oss-20b (batch)openai/gpt-oss-20b:batch | OpenAI |
131.072K | $0.024 | $0.112 | — | ||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | Mistral AI |
256K | $0.15 | $0.45 | — | ||
| gpt-audio-miniazure/gpt-audio-mini | Azure |
128K | $0.6 | $2.4 | — | ||
| databricks-claude-fable-5databricks/databricks-claude-fable-5 | Databricks |
1M | $10 | $50 | — | ||
| databricks-claude-opus-4-6databricks/databricks-claude-opus-4-6 | Databricks |
1M | $5 | $25 | — | ||
| databricks-claude-opus-4-7databricks/databricks-claude-opus-4-7 | Databricks |
1M | $5 | $25 | — | ||
| databricks-claude-opus-4-8databricks/databricks-claude-opus-4-8 | Databricks |
1M | $5 | $25 | — | ||
| databricks-claude-opus-5databricks/databricks-claude-opus-5 | Databricks |
1M | $5 | $25 | — |