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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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No provider description is available for this model yet.
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Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...
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No provider description is available for this model yet.
Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...
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No provider description is available for this model yet.
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...
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GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
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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...
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No provider description is available for this model yet.
No provider description is available for this model yet.
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
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,...
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...
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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.
GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
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No provider description is available for this model yet.
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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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...
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No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
No provider description is available for this model yet.
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| nvidia/NVIDIA-Nemotron-Labs-Teacher-STEMnvidia/NVIDIA-Nemotron-Labs-Teacher-STEM | Not documented | — | — | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Followingnvidia/NVIDIA-Nemotron-Labs-Teacher-Instruction-Following | Not documented | — | — | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Codingnvidia/NVIDIA-Nemotron-Labs-Teacher-Competition-Coding | Not documented | — | — | — | |||
| openai/gpt-oss-20breplicate/openai/gpt-oss-20b | Not documented | $0.09 | $0.36 | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-Chatnvidia/NVIDIA-Nemotron-Labs-Teacher-Chat | Not documented | — | — | — | |||
| ft:gpt-3.5-turbo-0613openai/ft:gpt-3.5-turbo-0613 | 4.096K | $3 | $6 | — | |||
| Mistral: Ministral 8Bmistralai/ministral-8b | 128K | $0.11 | $0.11 | — | |||
| featherless-ai/Qwerky-72Bfeatherless_ai/featherless-ai/qwerky-72b | 32.768K | — | — | — | |||
| moonshotai/Kimi-K2-Instructdeepinfra/moonshotai/kimi-k2-instruct | 131.072K | $0.5 | $2 | — | |||
| Sakana: Fugu Maxsakana/fugu-max | 1M | $2 | $6 | — | |||
| openai/gpt-5.6-solopenrouter/openai/gpt-5.6-sol | 1.05M | $2 | $10 | — | |||
| deepseek-ai/DeepSeek-V4-Pro-0813wandb/deepseek-ai/deepseek-v4-pro-0813 | Not documented | $1.31 | $3.96 | — | |||
| ibm-granite/granite-4.2-8bwandb/ibm-granite/granite-4.2-8b | Not documented | $0.1 | $0.15 | — | |||
| NVIDIA: Nemotron 3.5 Lightning (free)nvidia/nemotron-3.5-lightning:free | 1M | Free | Free | — | |||
| glm-4.6zai/glm-4.6 | 200K | $0.6 | $2.2 | — | |||
| Z.ai: GLM 4.5Vz-ai/glm-4.5v | 65.536K | $0.6 | $1.8 | — | |||
| grok-4xai/grok-4 | 256K | $3 | $15 | — | |||
| deepseek-coder-v2-lite-baseollama/deepseek-coder-v2-lite-base | 8.192K | — | — | — | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 128K | $0.075 | $0.3 | — | |||
| grok-3-mini-latestxai/grok-3-mini-latest | 131.072K | $0.3 | $0.5 | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoningnvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoning | Not documented | — | — | — | |||
| grok-3-mini-fast-latestxai/grok-3-mini-fast-latest | 131.072K | $0.6 | $4 | — | |||
| Anthropic: Claude Fable 5 (batch)anthropic/claude-fable-5:batch | 1M | $5 | $25 | — | |||
| Google: Gemini 3.5 Flash Lite (batch)google/gemini-3.5-flash-lite:batch | 1.04858M | $0.15 | $1.25 | — | |||
| MiniMax: MiniMax M3minimax/minimax-m3 | 524.288K | $0.3 | $1.2 | — | |||
| OpenAI: GPT-5.6 Sol (batch)openai/gpt-5.6-sol:batch | 1.05M | $1 | $5 | — | |||
| deepseek-coder-v2-instructollama/deepseek-coder-v2-instruct | 32.768K | — | — | — | |||
| anthropic-claude-3-opusgradient_ai/anthropic-claude-3-opus | 200K | $15 | $75 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 262.144K | $0.5 | $1.5 | — | |||
| OpenAI: GPT-5.6 Terra Pro (batch)openai/gpt-5.6-terra-pro:batch | 1.05M | $1 | $6 | — | |||
| databricks-glm-5-2databricks/databricks-glm-5-2 | 1M | $1.4 | $4.4 | — | |||
| databricks-kimi-k3databricks/databricks-kimi-k3 | 1M | $3 | $15 | — | |||
| accounts/fireworks/models/deepseek-v4-pro-0813fireworks_ai/accounts/fireworks/models/deepseek-v4-pro-0813 | 1.04858M | $1.32 | $3.96 | — | |||
| ministral-14b-2512mistral/ministral-14b-2512 | 262.144K | $0.2 | $0.2 | — | |||
| ministral-14b-latestmistral/ministral-14b-latest | 262.144K | $0.2 | $0.2 | — | |||
| ministral-3b-2512mistral/ministral-3b-2512 | 131.072K | $0.1 | $0.1 | — | |||
| ministral-3b-latestmistral/ministral-3b-latest | 131.072K | $0.1 | $0.1 | — | |||
| mistral-medium-3mistral/mistral-medium-3 | 262.144K | $1.5 | $7.5 | — | |||
| voxtral-small-2507mistral/voxtral-small-2507 | 32.768K | $0.1 | $0.4 | — | |||
| zai-org/GLM-5.3-Flashtogether_ai/zai-org/glm-5.3-flash | 1.04858M | $0.15 | $0.5 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | 1M | $0.55 | $2.2 | — | |||
| glm-5.3zai/glm-5.3 | 1M | $1.4 | $4.4 | — | |||
| minimax-m3tencent/minimax-m3 | 1M | $0.3 | $1.2 | — | |||
| zai-org/glm-5.3novita/zai-org/glm-5.3 | 1.04858M | $1.4 | $4.4 | — | |||
| deepseek/deepseek-v4-pro-0813novita/deepseek/deepseek-v4-pro-0813 | 1.04858M | $1.32 | $3.96 | — | |||
| moonshotai/kimi-k3novita/moonshotai/kimi-k3 | 1.04858M | $3 | $15 | — | |||
| tencent/hy3novita/tencent/hy3 | 262.144K | $0.14 | $0.58 | — | |||
| zai-org/glm-5.2novita/zai-org/glm-5.2 | 1.04858M | $1.4 | $4.4 | — | |||
| grok-3-mini-fast-betaxai/grok-3-mini-fast-beta | 131.072K | $0.6 | $4 | — | |||
| grok-3-mini-fastxai/grok-3-mini-fast | 131.072K | $0.6 | $4 | — |