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...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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 |
|---|---|---|---|---|---|---|---|
| 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 | — | ||
| databricks-claude-sonnet-4-6databricks/databricks-claude-sonnet-4-6 | Databricks |
1M | $3 | $15 | — | ||
| databricks-claude-sonnet-5databricks/databricks-claude-sonnet-5 | Databricks |
1M | $3 | $15 | — | ||
| databricks-gemini-3-1-flash-litedatabricks/databricks-gemini-3-1-flash-lite | Databricks |
1.04858M | $0.312 | $1.875 | — | ||
| databricks-gemini-3-1-prodatabricks/databricks-gemini-3-1-pro | Databricks |
1.04858M | $2.5 | $15 | — | ||
| databricks-gemini-3-flashdatabricks/databricks-gemini-3-flash | Databricks |
1.04858M | $0.625 | $3.75 | — | ||
| databricks-gemini-3-prodatabricks/databricks-gemini-3-pro | Databricks |
1.04858M | $2.5 | $15 | — | ||
| databricks-glm-5-2databricks/databricks-glm-5-2 | Databricks |
1M | $1.4 | $4.4 | — | ||
| databricks-glm-5-3-flashdatabricks/databricks-glm-5-3-flash | Databricks |
1.04858M | — | — | — | ||
| databricks-gpt-5-1-codex-maxdatabricks/databricks-gpt-5-1-codex-max | Databricks |
272K | $1.25 | $10 | — | ||
| databricks-gpt-5-1-codex-minidatabricks/databricks-gpt-5-1-codex-mini | Databricks |
272K | $0.25 | $2 | — | ||
| databricks-gpt-5-2databricks/databricks-gpt-5-2 | Databricks |
272K | $1.75 | $14 | — | ||
| databricks-gpt-5-2-codexdatabricks/databricks-gpt-5-2-codex | Databricks |
272K | $1.75 | $14 | — | ||
| databricks-gpt-5-3-codexdatabricks/databricks-gpt-5-3-codex | Databricks |
272K | $1.75 | $14 | — | ||
| databricks-gpt-5-4databricks/databricks-gpt-5-4 | Databricks |
272K | $2.5 | $15 | — | ||
| databricks-gpt-5-4-minidatabricks/databricks-gpt-5-4-mini | Databricks |
272K | $0.75 | $4.5 | — | ||
| databricks-gpt-5-4-nanodatabricks/databricks-gpt-5-4-nano | Databricks |
272K | $0.2 | $1.25 | — | ||
| databricks-kimi-k3databricks/databricks-kimi-k3 | Databricks |
1M | $3 | $15 | — | ||
| accounts/fireworks/models/deepseek-v4-pro-0813fireworks_ai/accounts/fireworks/models/deepseek-v4-pro-0813 | Fireworks_Ai |
1.04858M | $1.32 | $3.96 | — | ||
| gemma-4-26b-a4b-itgemini/gemma-4-26b-a4b-it | 262.144K | — | — | — | |||
| gemma-4-31b-itgemini/gemma-4-31b-it | 262.144K | — | — | — | |||
| daybreak-red-latestopenai/daybreak-red-latest | OpenAI |
400K | $12.5 | $75 | — | ||
| daybreak-blue-latestopenai/daybreak-blue-latest | OpenAI |
1.05M | $4 | $20 | — | ||
| chat-latestopenai/chat-latest | OpenAI |
400K | $5 | $30 | — | ||
| ministral-14b-latestmistral/ministral-14b-latest | Mistral |
262.144K | $0.2 | $0.2 | — | ||
| ministral-3b-latestmistral/ministral-3b-latest | Mistral |
131.072K | $0.1 | $0.1 | — | ||
| voxtral-small-2507mistral/voxtral-small-2507 | Mistral |
32.768K | $0.1 | $0.4 | — | ||
| zai-glm-5-2mistral/zai-glm-5-2 | Mistral |
1.04858M | $1.4 | $4.4 | — | ||
| glm-5-2mistral/glm-5-2 | Mistral |
1.04858M | $1.4 | $4.4 | — | ||
| kimi-k2.7-codemoonshot/kimi-k2.7-code | 262.144K | $0.95 | $4 | — | |||
| kimi-k3moonshot/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| anthropic/claude-opus-5openrouter/anthropic/claude-opus-5 | Openrouter |
1M | $5 | $25 | — | ||
| deepseek/deepseek-v4-proopenrouter/deepseek/deepseek-v4-pro | Openrouter |
1.04858M | $1.32 | $3.96 | — | ||
| deepseek/deepseek-v4-pro-0813openrouter/deepseek/deepseek-v4-pro-0813 | Openrouter |
1.04858M | $1.32 | $3.96 | — | ||
| GLM-5.2scx-ai/glm-5.2 | 1.04858M | $0.61 | $1.98 | — |