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
534
个提供方
75
最近同步
2026年8月31日
534 个模型
qwen logoqwen

Qwen: Qwen3 VL 30B A3B Thinking

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...

上下文
262K
输入
text · image
输出
text
输入: $0.200输出: $2.40每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 VL 30B A3B Instruct

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...

上下文
262K
输入
text · image
输出
text
输入: $0.150输出: $0.600每百万 Token
查看模型详情
openai logoopenai

OpenAI: GPT-5 Pro

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

上下文
400K
输入
image · text · file
输出
text
输入: $15.00输出: $120.00每百万 Token
查看模型详情
z-ai logoz-ai

Z.ai: GLM 4.6

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...

上下文
205K
输入
text
输出
text
输入: $0.430输出: $1.75每百万 Token
查看模型详情
anthropic logoanthropic

Anthropic: Claude Sonnet 4.5

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...

上下文
1M
输入
text · image · file
输出
text
输入: $3.00输出: $15.00每百万 Token
查看模型详情
anthropic logoanthropic

Anthropic: Claude Sonnet 4.5 (batch)

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...

上下文
1M
输入
text · image · file
输出
text
输入: $1.50输出: $7.50每百万 Token
查看模型详情
deepseek logodeepseek

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

上下文
164K
输入
text
输出
text
输入: $0.270输出: $0.410每百万 Token
查看模型详情
thedrummer logothedrummer

TheDrummer: Cydonia 24B V4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

上下文
131K
输入
text
输出
text
输入: $0.300输出: $0.500每百万 Token
查看模型详情
relace logorelace

Relace: Relace Apply 3

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at...

上下文
256K
输入
text
输出
text
输入: $0.850输出: $1.25每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

上下文
131K
输入
text · image
输出
text
输入: $0.400输出: $4.00每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

上下文
262K
输入
text · image
输出
text
输入: $0.210输出: $1.90每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 Max

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...

上下文
262K
输入
text
输出
text
输入: $0.780输出: $3.90每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...

上下文
1M
输入
text
输出
text
输入: $0.650输出: $3.25每百万 Token
查看模型详情
deepseek logodeepseek

DeepSeek: DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

上下文
164K
输入
text
输出
text
输入: $0.270输出: $1.00每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 Coder Flash

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling...

上下文
1M
输入
text
输出
text
输入: $0.195输出: $0.975每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

上下文
262K
输入
text
输出
text
输入: $0.150输出: $1.20每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 Next 80B A3B Instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

上下文
262K
输入
text
输出
text
输入: $0.090输出: $1.10每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen Plus 0728

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

上下文
1M
输入
text
输出
text
输入: $0.260输出: $0.780每百万 Token
查看模型详情
moonshotai logomoonshotai

MoonshotAI: Kimi K2 0905

Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

上下文
262K
输入
text
输出
text
输入: $0.600输出: $2.50每百万 Token
查看模型详情
qwen logoqwen

Qwen: Qwen3 30B A3B Thinking 2507

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...

上下文
82K
输入
text
输出
text
输入: $0.200输出: $2.40每百万 Token
查看模型详情
nousresearch logonousresearch

Nous: Hermes 4 70B

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...

上下文
131K
输入
text
输出
text
输入: $0.130输出: $0.400每百万 Token
查看模型详情
nousresearch logonousresearch

Nous: Hermes 4 405B

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...

上下文
131K
输入
text
输出
text
输入: $1.00输出: $3.00每百万 Token
查看模型详情
deepseek logodeepseek

DeepSeek: DeepSeek V3.1

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...

上下文
164K
输入
text
输出
text
输入: $0.550输出: $1.65每百万 Token
查看模型详情
mistralai logomistralai

Mistral: Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

上下文
131K
输入
text · image · file
输出
text
输入: $0.400输出: $2.00每百万 Token
查看模型详情