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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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GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
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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
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
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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...
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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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,...
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...
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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Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| openai-gpt-5-minisnowflake/openai-gpt-5-mini | 1M | $0.3 | $1.2 | — | |||
| openai-gpt-5-nanosnowflake/openai-gpt-5-nano | 5M | $0.15 | $0.6 | — | |||
| llama4-mavericksnowflake/llama4-maverick | 128K | $0.24 | $0.97 | — | |||
| Qwen/Qwen3.5-397B-A17B-FP8tensormesh/qwen/qwen3.5-397b-a17b-fp8 | 262.144K | $0.6 | $3.6 | — | |||
| Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8tensormesh/qwen/qwen3-coder-480b-a35b-instruct-fp8 | 262.144K | $0.45 | $1.8 | — | |||
| Qwen/Qwen3.6-27B-FP8tensormesh/qwen/qwen3.6-27b-fp8 | 262.144K | $0.32 | $3.2 | — | |||
| lukealonso/GLM-5.1-NVFP4-MTPtensormesh/lukealonso/glm-5.1-nvfp4-mtp | 202.752K | $1.4 | $4.4 | — | |||
| deepseek-ai/DeepSeek-V4-Flashtensormesh/deepseek-ai/deepseek-v4-flash | 32.768K | $0.14 | $0.28 | — | |||
| moonshotai/Kimi-K2.6tensormesh/moonshotai/kimi-k2.6 | 32.768K | $0.96 | $4 | — | |||
| MiniMaxAI/MiniMax-M2.5tensormesh/minimaxai/minimax-m2.5 | 196.608K | $0.3 | $1.2 | — | |||
| google/gemma-4-31B-ittensormesh/google/gemma-4-31b-it | 32.768K | $0.14 | $0.56 | — | |||
| openai/gpt-oss-120btensormesh/openai/gpt-oss-120b | 131.072K | $0.15 | $0.6 | — | |||
| openai/gpt-oss-20btensormesh/openai/gpt-oss-20b | 131.072K | $0.07 | $0.28 | — | |||
| deepseek-v4-protencent/deepseek-v4-pro | 1M | $0.435 | $0.87 | — | |||
| deepseek-v4-flashtencent/deepseek-v4-flash | 1M | $0.14 | $0.28 | — | |||
| ps/glm-4.5-airpinstripes/ps/glm-4.5-air | 128K | $0.125 | $0.45 | — | |||
| ps/qwen3.6-35b-a3bpinstripes/ps/qwen3.6-35b-a3b | 131.072K | $0.14 | $0.45 | — | |||
| ps/qwen3-30b-a3bpinstripes/ps/qwen3-30b-a3b | 131.072K | $0.09 | $0.2 | — | |||
| ps/qwen3-coder-30b-a3bpinstripes/ps/qwen3-coder-30b-a3b | 131.072K | $0.3 | $0.6 | — | |||
| ps/deepseek-v4-flashpinstripes/ps/deepseek-v4-flash | 163.84K | $0.1 | $0.2 | — | |||
| ps/minimax-m2.7pinstripes/ps/minimax-m2.7 | 1.00019M | $0.255 | $0.55 | — | |||
| gemma-4-26bdarkbloom/gemma-4-26b | 131.072K | $0.03 | $0.165 | — | |||
| gpt-oss-20bdarkbloom/gpt-oss-20b | 131.072K | $0.015 | $0.07 | — | |||
| fallback_generalizationsunknown/fallback_generalizations | Not documented | — | — | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | 1.04858M | $0.075 | $0.25 | — | |||
| Anthropic: Claude Opus 4.6 (batch)anthropic/claude-opus-4.6:batch | 1M | $2.5 | $12.5 | — | |||
| LiquidAI: LFM2.5-2.6B (free)liquid/lfm-2.5-2.6b:free | 65.536K | Free | Free | — | |||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | 1.05M | $1.25 | $7.5 | — | |||
| Qwen/Qwen3.8-2.4T-A95BQwen/Qwen3.8-2.4T-A95B | Not documented | — | — | — | |||
| OpenAI: GPT-5.6 Luna Pro (batch)openai/gpt-5.6-luna-pro:batch | 1.05M | $0.1 | $0.6 | — | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 1.04758M | $0.2 | $0.8 | — | |||
| 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 | — | — | — | |||
| Mistral: Ministral 8Bmistralai/ministral-8b | 128K | $0.11 | $0.11 | — | |||
| 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 | — | |||
| Z.ai: GLM 4.5Vz-ai/glm-4.5v | 65.536K | $0.6 | $1.8 | — | |||
| Z.ai: GLM 5.3 (batch)z-ai/glm-5.3:batch | 1.04858M | $0.7 | $2.2 | — | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 128K | $0.075 | $0.3 | — | |||
| nvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoningnvidia/NVIDIA-Nemotron-Labs-Teacher-General-Reasoning | Not documented | — | — | — | |||
| IBM: Granite 4.2 8Bibm-granite/granite-4.2-8b | 131.072K | $0.06 | $0.25 | — | |||
| Z.ai: GLM 5z-ai/glm-5 | 198K | $0.6 | $1.92 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1M | $1.5 | $7.5 | — | |||
| OpenAI: GPT-5 Pro (batch)openai/gpt-5-pro:batch | 400K | $7.5 | $60 | — | |||
| OpenAI: GPT-4 Turbo (batch)openai/gpt-4-turbo:batch | 128K | $5 | $15 | — |