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Model catalog
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...
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.
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...
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...
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,...
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
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...
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...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| doubao-seed-2-0-lite-260215volcengine/doubao-seed-2-0-lite-260215 | 256K | — | — | — | |||
| claude-4-sonnetsnowflake/claude-4-sonnet | 200K | $3 | $15 | — | |||
| doubao-seed-2-0-mini-260215volcengine/doubao-seed-2-0-mini-260215 | 256K | — | — | — | |||
| doubao-seed-2-0-code-preview-260215volcengine/doubao-seed-2-0-code-preview-260215 | 256K | — | — | — | |||
| us-east-1/zai.glm-5bedrock/us-east-1/zai.glm-5 | 200K | $1 | $3.2 | — | |||
| us-west-2/zai.glm-5bedrock/us-west-2/zai.glm-5 | 200K | $1 | $3.2 | — | |||
| us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0 | 200K | $1.2 | $6 | — | |||
| us-gov-west-1/anthropic.claude-haiku-4-5-20251001-v1:0bedrock/us-gov-west-1/anthropic.claude-haiku-4-5-20251001-v1:0 | 200K | $1.2 | $6 | — | |||
| claude-sonnet-4-5snowflake/claude-sonnet-4-5 | 200K | $3 | $15 | — | |||
| claude-sonnet-4-6snowflake/claude-sonnet-4-6 | 200K | $3 | $15 | — | |||
| claude-4-opussnowflake/claude-4-opus | 200K | $5 | $25 | — | |||
| claude-haiku-4-5snowflake/claude-haiku-4-5 | 200K | $1 | $5 | — | |||
| claude-3-7-sonnetsnowflake/claude-3-7-sonnet | 200K | $3 | $15 | — | |||
| openai-gpt-4.1snowflake/openai-gpt-4.1 | 300K | $2 | $8 | — | |||
| openai-gpt-5snowflake/openai-gpt-5 | 300K | $1.25 | $10 | — | |||
| 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 | Tencent |
1M | $0.435 | $0.87 | — | ||
| deepseek-v4-flashtencent/deepseek-v4-flash | Tencent |
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 | — | |||
| Z.ai: GLM 5.3 Flash (batch)z-ai/glm-5.3-flash:batch | Z Ai |
1.04858M | $0.075 | $0.25 | — | ||
| OpenAI: GPT-4 Turbo (batch)openai/gpt-4-turbo:batch | OpenAI |
128K | $5 | $15 | — | ||
| 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 | OpenAI |
1.05M | $1.25 | $7.5 | — | ||
| OpenAI: GPT-5.6 Luna Pro (batch)openai/gpt-5.6-luna-pro:batch | OpenAI |
1.05M | $0.1 | $0.6 | — | ||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | OpenAI |
1.04758M | $0.2 | $0.8 | — | ||
| Z.ai: GLM 5.2 (batch)z-ai/glm-5.2:batch | Z Ai |
1.04858M | $0.7 | $2.2 | — | ||
| Z.ai: GLM 5V Turboz-ai/glm-5v-turbo | Z Ai |
202.752K | $1.2 | $4 | — | ||
| Qwen: Qwen-Plusqwen/qwen-plus | Alibaba Qwen |
1M | $0.26 | $0.78 | — | ||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | Anthropic |
1M | $3 | $15 | — | ||
| Mistral: Ministral 8Bmistralai/ministral-8b | Mistral AI |
128K | $0.11 | $0.11 | — | ||
| Sakana: Fugu Maxsakana/fugu-max | Sakana |
1M | $2 | $6 | — |