4,213 models

No provider description is available for this model yet.

cerebras/zai-glm-4.7 128K context $2.25/M input $2.75/M output

Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...

stealth/ox-alpha 1.04858M context Input not listed Output not listed

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

mistralai/ministral-14b-2512 262.144K context $0.2/M input $0.2/M output

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

z-ai/glm-4.5 131.072K context $0.6/M input $2.2/M output

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...

inclusionai/ling-2.6-1t 262.144K context $0.075/M input $0.625/M output

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friendliai/zai-org/glm-5.2 1.04858M context $1.4/M input $4.4/M output
Open weights

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meta-llama/CodeLlama-34b-hf Not documented context Input not listed Output not listed

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friendliai/google/gemma-4-31b-it 262.144K context $0.14/M input $0.4/M output

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...

nvidia/nemotron-3-nano-30b-a3b:free 256K context Free input Free output

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...

anthropic/claude-opus-4.6 1M context $5/M input $25/M output

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

openai/gpt-oss-20b:free 131.072K context Free input Free output
Open weights

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meta-llama/CodeLlama-34b-Python-hf Not documented context Input not listed Output not listed
Open weights

No provider description is available for this model yet.

meta-llama/CodeLlama-34b-Instruct-hf Not documented context Input not listed Output not listed

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...

openrouter/free 200K context Free input Free output

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ollama/llama3 8.192K context Input not listed Output not listed

No provider description is available for this model yet.

ollama/llama2:7b 4.096K context Input not listed Output not listed

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

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

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

deepseek/deepseek-chat-v3.1 163.84K context $0.25/M input $0.95/M output

Fast-mode variant of [Opus 4.7](/anthropic/claude-opus-4.7) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

anthropic/claude-opus-4.7-fast 1M context $30/M input $150/M output

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

meta-llama/llama-3.2-3b-instruct 131.072K context $0.05/M input $0.33/M output
Open weights

No provider description is available for this model yet.

meta-llama/CodeLlama-70b-hf Not documented context Input not listed Output not listed
Open weights

No provider description is available for this model yet.

meta-llama/CodeLlama-70b-Python-hf Not documented context Input not listed Output not listed

No provider description is available for this model yet.

bedrock/sa-east-1/deepseek.v3.2 163.84K context $0.74/M input $2.22/M output
Open weights

No provider description is available for this model yet.

meta-llama/CodeLlama-70b-Instruct-hf Not documented context Input not listed Output not listed
Open weights

No provider description is available for this model yet.

meta-llama/Llama-2-7b Not documented context Input not listed Output not listed

No provider description is available for this model yet.

ollama/llama2:70b 4.096K context Input not listed Output not listed

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
Open weights

No provider description is available for this model yet.

meta-llama/Llama-2-13b Not documented context Input not listed Output not listed

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.

tencent/hy-mt2-7b 8.192K context $0.074/M input $0.295/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

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels...

qwen/qwen3-vl-30b-a3b-thinking 131.072K context $0.2/M input $2.4/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

meta/muse-spark-1.2-contributor 1.04858M context $0.1/M input $0.2/M output