1,829 models

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openrouter/z-ai/glm-5-turbo 202.752K context $1.2/M input $4/M output

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openrouter/qwen/qwen3.5-9b 262.144K context $0.1/M input $0.15/M output

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openrouter/openai/gpt-5.4-pro 1.05M context $30/M input $180/M output

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openrouter/qwen/qwen3-max-thinking 262.144K context $0.78/M input $3.9/M output

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openrouter/qwen/qwen3-coder-next 262.144K context $0.12/M input $0.8/M output

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openrouter/openai/gpt-5.1-codex 400K context $1.25/M input $10/M output

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openrouter/qwen/qwen3-vl-8b-instruct 262.144K context $0.117/M input $0.455/M output

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openrouter/openai/gpt-5-pro 400K context $15/M input $120/M output

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openrouter/qwen/qwen3-max 262.144K context $0.78/M input $3.9/M output

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openrouter/qwen/qwen3-coder-flash 1M context $0.195/M input $0.975/M output

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openrouter/moonshotai/kimi-k2-0905 262.144K context $0.6/M input $2.5/M output

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openrouter/minimax/minimax-m1 1M context $0.55/M input $2.2/M output

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openrouter/openai/o3-pro 200K context $20/M input $80/M output

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openrouter/openai/o4-mini-high 200K context $1.1/M input $4.4/M output

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openrouter/openai/o1-pro 200K context $150/M input $600/M output

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

openai/gpt-5.1:batch 400K context $0.625/M input $5/M output

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openrouter/qwen/qwen-plus 1M context $0.26/M input $0.78/M output

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openrouter/minimax/minimax-01 1.00019M context $0.2/M input $1.1/M output

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

openai/o4-mini:batch 200K context $0.55/M input $2.2/M output

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

moonshotai/kimi-k2-0905 262.144K context $0.6/M input $2.5/M output

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...

bytedance-seed/seed-1.6-flash 262.144K context $0.075/M input $0.3/M 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

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), 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-luna-pro 1.05M context $0.2/M input $1.2/M output

*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...

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

Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode Note: As of September...

anthropic/claude-opus-5-fast 1M context $10/M input $50/M output

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

qwen/qwen3.7-flash 1M context $0.03/M input $0.13/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

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 1.05M context $2/M input $12/M output

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), 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-sol-pro 1.05M context $2/M input $10/M output