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Models
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...
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...
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...
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...
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...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| 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-M3azure_ai/fw-minimax-m3 | 512K | $0.33 | $1.32 | — | |||
| grok-4.3azure_ai/grok-4.3 | 200K | $1.25 | $2.5 | — | |||
| Meta: Muse Spark 1.2 Contributormeta/muse-spark-1.2-contributor | 1.04858M | $0.1 | $0.2 | — | |||
| Qwen: Qwen3.8 Flashqwen/qwen3.8-flash | 1M | $0.15 | $0.47 | — | |||
| Z.ai: GLM 5.3 Flashz-ai/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | 1.04858M | $0.05 | $0.18 | — | |||
| Meta: Muse Glimmer 30B (batch)meta/muse-glimmer-30b:batch | 131.072K | $0.175 | $0.75 | — | |||
| Thinking Machines: Inkling Small (batch)thinkingmachines/inkling-small:batch | 524.288K | $0.5 | $1.2 | — | |||
| Thinking Machines: Inkling Small (free)thinkingmachines/inkling-small:free | 1.04858M | Free | Free | — | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 1.04858M | Free | Free | — | |||
| MoonshotAI: Kimi K3 (batch)moonshotai/kimi-k3:batch | 1.04858M | $2.28 | $11.4 | — | |||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | 1.04858M | Free | Free | — | |||
| Mistral: Mistral Medium 3.5 (batch)mistralai/mistral-medium-3-5:batch | 262.144K | $0.75 | $3.75 | — | |||
| Google: Gemma 4 31B (batch)google/gemma-4-31b-it:batch | 262.144K | $0.39 | $0.97 | — | |||
| Mistral: Mistral Small 4 (batch)mistralai/mistral-small-2603:batch | 262.144K | $0.075 | $0.3 | — | |||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | 262.144K | $0.17 | $0.25 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 262.144K | $0.075 | $0.075 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 262.144K | $0.25 | $0.75 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 131.072K | $0.2 | $1 | — | |||
| Qwen/Qwen3.8-Flash-NextQwen/Qwen3.8-Flash-Next | Not documented | — | — | — | |||
| databricks-claude-opus-4-7databricks/databricks-claude-opus-4-7 | 1M | $5 | $25 | — | |||
| databricks-claude-opus-4-8databricks/databricks-claude-opus-4-8 | 1M | $5 | $25 | — | |||
| databricks-claude-opus-5databricks/databricks-claude-opus-5 | 1M | $5 | $25 | — | |||
| databricks-claude-sonnet-5databricks/databricks-claude-sonnet-5 | 1M | $3 | $15 | — | |||
| databricks-glm-5-3-flashdatabricks/databricks-glm-5-3-flash | 1.04858M | — | — | — | |||
| databricks-kimi-k3databricks/databricks-kimi-k3 | 1M | $3 | $15 | — | |||
| 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 | 400K | $12.5 | $75 | — | |||
| daybreak-blue-latestopenai/daybreak-blue-latest | 1.05M | $4 | $20 | — | |||
| chat-latestopenai/chat-latest | 400K | $5 | $30 | — | |||
| ministral-14b-latestmistral/ministral-14b-latest | 262.144K | $0.2 | $0.2 | — | |||
| ministral-3b-latestmistral/ministral-3b-latest | 131.072K | $0.1 | $0.1 | — | |||
| 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 | 1M | $5 | $25 | — | |||
| Qwen3.8-Maxscx-ai/qwen3.8-max | 1M | $1.65 | $4.99 | — | |||
| MiniMaxAI/MiniMax-M3together_ai/minimaxai/minimax-m3 | 524.288K | $0.3 | $1.2 | — | |||
| Qwen/Qwen3.5-9Btogether_ai/qwen/qwen3.5-9b | 262.144K | $0.17 | $0.25 | — | |||
| google/gemma-4-31B-ittogether_ai/google/gemma-4-31b-it | 262.144K | $0.39 | $0.97 | — | |||
| moonshotai/Kimi-K2.7-Codetogether_ai/moonshotai/kimi-k2.7-code | 262.144K | $0.95 | $4 | — | |||
| moonshotai/Kimi-K3together_ai/moonshotai/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| zai-org/GLM-5.3-Flashtogether_ai/zai-org/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| glm-5.3-flashzai/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| us.openai.gpt-5.6-solbedrock_converse/us.openai.gpt-5.6-sol | 1M | $4.4 | $22 | — | |||
| global.openai.gpt-5.6-solbedrock_converse/global.openai.gpt-5.6-sol | 1M | $4 | $20 | — | |||
| us.openai.gpt-5.6-terrabedrock_converse/us.openai.gpt-5.6-terra | 1M | $2.2 | $13.2 | — |