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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.
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...
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...
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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.
No provider description is available for this model yet.
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.
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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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.
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...
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No provider description is available for this model yet.
GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), 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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*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...
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No provider description is available for this model yet.
No provider description is available for this model yet.
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...
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| 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 | — | |||
| 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 | — | |||
| MiniMax: MiniMax M1minimax/minimax-m1 | 1M | $0.4 | $2.2 | — | |||
| Z.ai: GLM 5.3 (batch)z-ai/glm-5.3:batch | 1.04858M | $0.7 | $2.2 | — | |||
| qwen3-coder-nextaihubmix/qwen3-coder-next | 262.144K | $0.137 | $0.548 | — | |||
| moonshotai/kimi-k2.7-codenovita/moonshotai/kimi-k2.7-code | 262.144K | $0.95 | $4 | — | |||
| Sakana: Fugu Maxsakana/fugu-max | 1M | $2 | $6 | — | |||
| deepseek/deepseek-v4-flash-vision-expnovita/deepseek/deepseek-v4-flash-vision-exp | 1.04858M | $0.44 | $1.32 | — | |||
| deepseek/deepseek-v4-flash-0731novita/deepseek/deepseek-v4-flash-0731 | 1.04858M | $0.44 | $1.32 | — | |||
| qwen3.5-122b-a10baihubmix/qwen3.5-122b-a10b | 262.144K | $0.113 | $0.901 | — | |||
| qwen3.5-397b-a17baihubmix/qwen3.5-397b-a17b | 262.144K | $0.164 | $0.986 | — | |||
| qwen3.6-27baihubmix/qwen3.6-27b | 262.144K | $0.422 | $2.532 | — | |||
| mindai/macaron-v1-ventinovita/mindai/macaron-v1-venti | 1.04858M | $1.5 | $4.5 | — | |||
| qwen3.6-35b-a3baihubmix/qwen3.6-35b-a3b | 262.144K | $0.254 | $1.524 | — | |||
| qwen3.6-max-previewaihubmix/qwen3.6-max-preview | 262.144K | $1.268 | $7.608 | — | |||
| minimax/minimax-m3novita/minimax/minimax-m3 | 1M | $0.3 | $1.2 | — | |||
| deepseek/deepseek-v4-flashnovita/deepseek/deepseek-v4-flash | 1.04858M | $0.14 | $0.28 | — | |||
| deepseek/deepseek-v4-pronovita/deepseek/deepseek-v4-pro | 1.04858M | $1.6 | $3.2 | — | |||
| qwen3.7-plusaihubmix/qwen3.7-plus | 1M | $0.282 | $1.128 | — | |||
| qwen3.8-2.4t-a95baihubmix/qwen3.8-2.4t-a95b | 1M | $2 | $6 | — | |||
| inclusionai/ling-3.0-flash-fastnovita/inclusionai/ling-3.0-flash-fast | 262.144K | $0.06 | $0.18 | — | |||
| qwen/qwen3.8-maxnovita/qwen/qwen3.8-max | 1M | $2 | $6 | — | |||
| qwen3.8-flashaihubmix/qwen3.8-flash | 1M | $0.113 | $0.38 | — | |||
| qwen3.8-maxaihubmix/qwen3.8-max | 1M | $1.69 | $5.07 | — | |||
| inclusionai/ling-3.0-flashnovita/inclusionai/ling-3.0-flash | 262.144K | $0.06 | $0.18 | — | |||
| step-3.7-flashaihubmix/step-3.7-flash | 256K | $0.22 | $1.32 | — | |||
| mindai/macaron-v1-tallnovita/mindai/macaron-v1-tall | 262.144K | $0.45 | $2.6 | — | |||
| stepfun/step-3.7-flashnovita/stepfun/step-3.7-flash | 262.144K | $0.2 | $1.15 | — | |||
| Inference.net: Schematron V2 Turboinference-net/schematron-v2-turbo | 128K | $0.03 | $0.15 | — | |||
| nvidia/nemotron-3-nano-30b-a3bnovita/nvidia/nemotron-3-nano-30b-a3b | 262.144K | $0.05 | $0.2 | — | |||
| baidu/cobuddynovita/baidu/cobuddy | 131.072K | $0.28 | $1.13 | — | |||
| OpenAI: GPT-6 Astra Proopenai/gpt-6-astra-pro | 1.05M | $10 | $50 | — | |||
| xiaomimimo/mimo-v2.5novita/xiaomimimo/mimo-v2.5 | 1.04858M | $0.168 | $0.336 | — | |||
| qwen/qwen3.7-maxnovita/qwen/qwen3.7-max | 1M | $1.25 | $3.75 | — | |||
| xiaomimimo/mimo-v2.5-pronovita/xiaomimimo/mimo-v2.5-pro | 1.04858M | $0.522 | $1.044 | — | |||
| qwen/qwen3.6-27bnovita/qwen/qwen3.6-27b | 262.144K | $0.6 | $3.6 | — | |||
| inclusionAI: Ling 3.0 Flashinclusionai/ling-3.0-flash | 262.144K | $0.021 | $0.063 | — | |||
| moonshotai/kimi-k2.6novita/moonshotai/kimi-k2.6 | 262.144K | $0.8 | $3.4 | — | |||
| zai-org/glm-5.1novita/zai-org/glm-5.1 | 204.8K | $1.38 | $4.4 | — | |||
| minimax/minimax-m2.7-highspeednovita/minimax/minimax-m2.7-highspeed | 204.8K | $0.6 | $2.4 | — | |||
| OpenAI: GPT-5.5 (batch)openai/gpt-5.5:batch | 1.05M | $2.5 | $15 | — | |||
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| zai-org/glm-5v-turbonovita/zai-org/glm-5v-turbo | 204.8K | $1.2 | $4 | — |