全部大模型

DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competitive performance comparable to larger frontier models.

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX). Amazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents. NOTE: Video input is not supported at this time.

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy. With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing documents, extracting information from videos, generating code, providing accurate grounded answers, and automating multi-step agentic workflows.

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint the same. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

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 support features needed for your request such as image understanding, tool calling, structured outputs and more.

Transform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example: "count to 10 using gemini and opus." This is useful for creating multi-model requests, custom model routers, or programmatic generation of API calls from human descriptions. BETA NOTICE: Body Builder is in beta, and currently free. Pricing and functionality may change in the future.

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit Activity, or read the model attribute of the response. Your response will be priced at the same rate as the routed model. Learn more, including how to customize the models for routing, in our docs. Requests will be routed to the following models: - anthropic/claude-haiku-4.5 - anthropic/claude-opus-4.6 - anthropic/claude-sonnet-4.5 - anthropic/claude-sonnet-4.6 - deepseek/deepseek-r1 - google/gemini-2.5-flash-lite - google/gemini-3-flash-preview - google/gemini-3-pro-preview - google/gemini-3.1-pro-preview - meta-llama/llama-3.3-70b-instruct - minimax/minimax-m2.5 - mistralai/codestral-2508 - mistralai/mistral-7b-instruct-v0.1 - mistralai/mistral-large - mistralai/mistral-medium-3.1 - mistralai/mistral-small-3.2-24b-instruct-2506 - moonshotai/kimi-k2-thinking - moonshotai/kimi-k2.5 - openai/gpt-5 - openai/gpt-5-mini - openai/gpt-5-nano - openai/gpt-5.1 - openai/gpt-5.2 - openai/gpt-5.2-pro - openai/gpt-5.3-chat - openai/gpt-oss-120b - perplexity/sonar - qwen/qwen3-235b-a22b - x-ai/grok-3 - x-ai/grok-3-mini - x-ai/grok-4 - x-ai/grok-4.1-fast - z-ai/glm-5