3,311 models

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

z-ai/glm-4.6 198K context $0.43/M input $1.75/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

No provider description is available for this model yet.

dashscope/qwen-coder 1M context $0.3/M input $1.5/M output

No provider description is available for this model yet.

xai/grok-4.20 1M context $1.25/M input $2.5/M output

No provider description is available for this model yet.

gemini/gemini-omni-1.1-flash 131.072K context $1.5/M input $9/M output

No provider description is available for this model yet.

zai/glm-5.3-flash 1.04858M context $0.15/M input $0.5/M output

No provider description is available for this model yet.

cohere_chat/command-r7b-12-2024 128K context $0.037/M input $0.15/M output

No provider description is available for this model yet.

together_ai/zai-org/glm-5.3 1.04858M context $1.4/M input $4.4/M output

No provider description is available for this model yet.

moonshot/kimi-k2.7-code 262.144K context $0.95/M input $4/M output

No provider description is available for this model yet.

gemini/gemma-4-31b-it 262.144K context Input not listed Output not listed

No provider description is available for this model yet.

nebius/qwen/qwen2-vl-7b-instruct 131.072K context $0.02/M input $0.06/M output

No provider description is available for this model yet.

azure/gpt-4.1 1.04758M context $2/M input $8/M output

No provider description is available for this model yet.

gemini/gemma-4-26b-a4b-it 262.144K context Input not listed Output not listed

No provider description is available for this model yet.

databricks/databricks-glm-5-3-flash 1.04858M context Input not listed Output not listed

No provider description is available for this model yet.

nebius/qwen/qwen2-vl-72b-instruct 131.072K context $0.13/M input $0.4/M output

No provider description is available for this model yet.

deepinfra/qwen/qwen3-max 256K context $1.2/M input $6/M output

No provider description is available for this model yet.

nebius/qwen/qwen2.5-vl-72b-instruct 131.072K context $0.13/M input $0.4/M output

No provider description is available for this model yet.

cohere_chat/command-r-plus 128K context $2.5/M input $10/M output

No provider description is available for this model yet.

deepinfra/xiaomimimo/mimo-v2.5 262.144K context $0.4/M input $2/M output

GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...

openai/gpt-5.1-chat 128K context $1.25/M input $10/M output

No provider description is available for this model yet.

nebius/qwen/qwen2.5-coder-7b 32.768K context $0.01/M input $0.03/M output

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

qwen/qwen3.6-flash 1M context $0.188/M input $1.125/M output

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly...

openai/gpt-5.3-chat 128K context $1.75/M input $14/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

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...

qwen/qwen3-30b-a3b-thinking-2507 81.92K context $0.2/M input $2.4/M output

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...

nvidia/nemotron-nano-9b-v2:free 128K context Free input Free output

Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the larger 405B release, allowing the model to either...

nousresearch/hermes-4-70b 131.072K context $0.13/M input $0.4/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

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

mistralai/mistral-small-24b-instruct-2501 32.768K context $0.05/M input $0.08/M output

Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and expressive word choices - Enhanced creativity for vivid narratives -...

thedrummer/rocinante-12b 65.536K context $0.25/M input $0.5/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

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

meta-llama/llama-3.2-1b-instruct 60K context $0.027/M input $0.201/M output