模型雷达 · OPENROUTER

把 AI 模型放在一起比较。

收录 OpenRouter 当前公开的全部模型,统一呈现模态、上下文窗口、价格、配置与提供方信息,并持续增量更新。

目录范围
全部公开
个模型
631
个提供方
86
最近同步
2026年9月29日
631 个模型
openai logoopenai

OpenAI: o3 Mini (batch)

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoningeffort parameter, which can be set to...

上下文
200K
输入
text · file
输出
text
输入: $0.55输出: $2.2每百万 Token
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mistralai logomistralai

Mistral: Mistral Small 3

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...

上下文
33K
输入
text
输出
text
输入: $0.05输出: $0.08每百万 Token
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perplexity logoperplexity

Perplexity: Sonar

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

上下文
127K
输入
text · image
输出
text
输入: $1输出: $1每百万 Token
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deepseek logodeepseek

DeepSeek: R1

DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

上下文
64K
输入
text
输出
text
输入: $0.7输出: $2.5每百万 Token
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minimax logominimax

MiniMax: MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

上下文
1.0M
输入
text · image
输出
text
输入: $0.2输出: $1.1每百万 Token
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microsoft logomicrosoft

Microsoft: Phi 4

Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...

上下文
16K
输入
text
输出
text
输入: $0.07输出: $0.14每百万 Token
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deepseek logodeepseek

DeepSeek: DeepSeek V3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

上下文
164K
输入
text
输出
text
输入: $0.2574输出: $1.0287每百万 Token
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sao10k logosao10k

Sao10K: Llama 3.3 Euryale 70B

Euryale L3.3 70B is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.2.

上下文
131K
输入
text
输出
text
输入: $0.65输出: $0.75每百万 Token
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openai logoopenai

OpenAI: o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

上下文
200K
输入
text · image · file
输出
text
输入: $15输出: $60每百万 Token
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cohere logocohere

Cohere: Command R7B (12-2024)

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...

上下文
128K
输入
text
输出
text
输入: $0.0375输出: $0.15每百万 Token
查看模型详情 →
meta-llama logometa-llama

Meta: Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

上下文
131K
输入
text
输出
text
输入: $0.1输出: $0.32每百万 Token
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amazon logoamazon

Amazon: Nova Lite 1.0

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...

上下文
300K
输入
text · image
输出
text
输入: $0.06输出: $0.24每百万 Token
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amazon logoamazon

Amazon: Nova Micro 1.0

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...

上下文
128K
输入
text
输出
text
输入: $0.035输出: $0.14每百万 Token
查看模型详情 →
amazon logoamazon

Amazon: Nova Pro 1.0

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...

上下文
300K
输入
text · image
输出
text
输入: $0.8输出: $3.2每百万 Token
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openai logoopenai

OpenAI: GPT-4o (2024-11-20)

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...

上下文
128K
输入
text · image · file
输出
text
输入: $2.5输出: $10每百万 Token
查看模型详情 →
mistralai logomistralai

Mistral Large 2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement here....

上下文
131K
输入
text · file
输出
text
输入: $2输出: $6每百万 Token
查看模型详情 →
qwen logoqwen

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code generation, code reasoning...

上下文
33K
输入
text
输出
text
输入: $0.66输出: $1每百万 Token
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thedrummer logothedrummer

TheDrummer: UnslopNemo 12B

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

上下文
1.0M
输入
text
输出
text
输入: $0.4输出: $0.4每百万 Token
查看模型详情 →
anthracite-org logoanthracite-org

Magnum v4 72B

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of Qwen2.5 72B.

上下文
33K
输入
text
输出
text
输入: $2.5输出: $5每百万 Token
查看模型详情 →
qwen logoqwen

Qwen: Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

上下文
33K
输入
text
输出
text
输入: $0.1输出: $0.2每百万 Token
查看模型详情 →
meta-llama logometa-llama

Meta: Llama 3.2 1B Instruct

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...

上下文
60K
输入
text
输出
text
输入: $0.027输出: $0.201每百万 Token
查看模型详情 →
meta-llama logometa-llama

Meta: Llama 3.2 3B Instruct

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...

上下文
131K
输入
text
输出
text
输入: $0.05输出: $0.33每百万 Token
查看模型详情 →
qwen logoqwen

Qwen2.5 72B Instruct

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

上下文
33K
输入
text
输出
text
输入: $0.36输出: $0.4每百万 Token
查看模型详情 →
cohere logocohere

Cohere: Command R (08-2024)

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...

上下文
128K
输入
text
输出
text
输入: $0.15输出: $0.6每百万 Token
查看模型详情 →