MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...

minimax/minimax-m2.1 204.8K context $0.3/M input $1.2/M output

Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...

openrouter/fusion 1M context Input not listed Output not listed

No provider description is available for this model yet.

azure_ai/fw-deepseek-v4-pro 1M context $1.925/M input $3.828/M output

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

minimax/minimax-m2.5 200K context $0.27/M input $1.08/M output

No provider description is available for this model yet.

bedrock_converse/us.xai.grok-4.6 500K context $2.2/M input $6.6/M output

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

qwen/qwen3.5-397b-a17b 262.144K context $0.55/M input $3.5/M output

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...

qwen/qwen3.5-plus-02-15 1M context $0.26/M input $1.56/M output

No provider description is available for this model yet.

bedrock_mantle/xai.grok-4.6 500K context $2.2/M input $6.6/M output

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

qwen/qwen3.5-flash-02-23 1M context $0.065/M input $0.26/M output

No provider description is available for this model yet.

openrouter/deepseek/deepseek-v4-pro 1.04858M context $1.32/M input $3.96/M output

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

openai/gpt-5-image-mini 400K context $2.5/M input $2/M output

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...

qwen/qwen3.5-122b-a10b 262.144K context $0.26/M input $2.08/M output

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

z-ai/glm-5.2 202.752K context $0.6/M input $2/M output

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

poolside/laguna-s-2.1:free 262.144K context Free input Free output

No provider description is available for this model yet.

dashscope/deepseek-v4-pro 1M context $2.4/M input $4.8/M output

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

openai/gpt-5.6-terra-pro:batch 1.05M context $1/M input $6/M output

No provider description is available for this model yet.

dashscope/glm-5.1 202.745K context $1.4/M input $4.4/M output

No provider description is available for this model yet.

dashscope/glm-5.2 1.04858M context $1.4/M input $4.4/M output

No provider description is available for this model yet.

dashscope/kimi-k2.7-code 229.376K context $0.95/M input $4/M output

No provider description is available for this model yet.

dashscope/qwen3.8-max 991.808K context $2/M input $6/M output

No provider description is available for this model yet.

vertex_ai/gemini-3.7-flash 1.04858M context $0.75/M input $3.75/M output

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

qwen/qwen-plus-2025-07-28 1M context $0.26/M input $0.78/M output

No provider description is available for this model yet.

gemini/gemini-3.7-flash 1.04858M context $0.75/M input $3.75/M output

No provider description is available for this model yet.

anthropic/claude-3-opus-20240229 200K context $15/M input $75/M output

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

inclusionai/ling-3.0-flash-vl:free 262.144K context Free input Free output

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

bytedance-seed/seed-1.6 262.144K context $0.25/M input $2/M output