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Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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.
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.
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...
No provider description is available for this model yet.
No provider description is available for this model yet.
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.
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...
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.
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.
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.
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...
No provider description is available for this model yet.
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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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.
*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...
No provider description is available for this model yet.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| ministral-14b-latestmistral/ministral-14b-latest | Mistral |
262.144K | $0.2 | $0.2 | — | ||
| muse-spark-1.2aihubmix/muse-spark-1.2 | Aihubmix |
1.04858M | $1.375 | $4.675 | — | ||
| ministral-3b-2512mistral/ministral-3b-2512 | Mistral |
131.072K | $0.1 | $0.1 | — | ||
| ministral-3b-latestmistral/ministral-3b-latest | Mistral |
131.072K | $0.1 | $0.1 | — | ||
| mistral-medium-3mistral/mistral-medium-3 | Mistral |
262.144K | $1.5 | $7.5 | — | ||
| voxtral-small-2507mistral/voxtral-small-2507 | Mistral |
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 | Zai |
1M | $1.4 | $4.4 | — | ||
| minimax-m3tencent/minimax-m3 | Tencent |
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 | MiniMax |
1M | $0.4 | $2.2 | — | ||
| qwen3-coder-nextaihubmix/qwen3-coder-next | Aihubmix |
262.144K | $0.137 | $0.548 | — | ||
| moonshotai/kimi-k2.7-codenovita/moonshotai/kimi-k2.7-code | 262.144K | $0.95 | $4 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | Mistral AI |
262.144K | $0.25 | $0.75 | — | ||
| Sakana: Fugu Maxsakana/fugu-max | Sakana |
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 | Aihubmix |
262.144K | $0.113 | $0.901 | — | ||
| qwen3.5-397b-a17baihubmix/qwen3.5-397b-a17b | Aihubmix |
262.144K | $0.164 | $0.986 | — | ||
| qwen3.6-27baihubmix/qwen3.6-27b | Aihubmix |
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 | Aihubmix |
262.144K | $0.254 | $1.524 | — | ||
| qwen3.6-max-previewaihubmix/qwen3.6-max-preview | Aihubmix |
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 | Aihubmix |
1M | $0.282 | $1.128 | — | ||
| qwen3.8-2.4t-a95baihubmix/qwen3.8-2.4t-a95b | Aihubmix |
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 | Aihubmix |
1M | $0.113 | $0.38 | — | ||
| qwen3.8-maxaihubmix/qwen3.8-max | Aihubmix |
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 | Aihubmix |
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 | OpenAI |
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 | — |