模型广场

选择模型后可复制配置给 AI，也可以快速测试当前连接延迟。

重置筛选

全部 11文本 11图像 0音频 0视频 0

claude-haiku-4.5

文本图像文本

Anthropic

Fast and affordable. Handles simple tasks well.

上下文: 200K
输入 / 1M tokens: $1
输出 / 1M tokens: $5
缓存读 / 1M: $0.1
缓存写 / 1M: $1.25

ChatCost Effective

gemini-3.5-flash

文本图像视频音频文本

Google

Designed for efficient multimodal AI tasks, offering strong coding, reasoning, real-time chat, and agent execution at Flash-tier cost and speed.

上下文: 1M
输入 / 1M tokens: $1.5
输出 / 1M tokens: $9
缓存读 / 1M: $0.15
缓存写 / 1M: $0.08333

Production CodeRefactoringAgent CodingDaily Dev

gpt-4.1

文本图像文本

OpenAI

Stable code generation with predictable output.

上下文: 1M
输入 / 1M tokens: $2
输出 / 1M tokens: $8
缓存读 / 1M: $0.5
缓存写 / 1M: -

Production CodeCoding

o3

文本图像文本

OpenAI

Reasoning model that works through problems step by step before answering, useful for math, science, and code questions that need multi-step derivation.

上下文: 200K
输入 / 1M tokens: $2
输出 / 1M tokens: $8
缓存读 / 1M: $0.5
缓存写 / 1M: $0

ReasoningMathChain of ThoughtScience

qwen3.8-max

文本图像视频文本

qwen

Qwen3.8 series flagship, the general-availability successor to Max Preview. A multimodal reasoning model built for complex reasoning, visual understanding, coding, and agentic workflows.

上下文: 1M
输入 / 1M tokens: $2
输出 / 1M tokens: $6
缓存读 / 1M: $0.25
缓存写 / 1M: $2.5

CodingReasoningVisionFrontier

grok-4.20

文本图像文本

xAI

Reasoning-oriented Grok variant built for multi-step problem solving and agentic tool use, with strict prompt adherence and low hallucination.

上下文: 2M
输入 / 1M tokens: $2.5
输出 / 1M tokens: $5
缓存读 / 1M: $0.4
缓存写 / 1M: $0

ReasoningChain of ThoughtInstruction FollowingAgent

grok-4.20-reasoning

文本图像文本

xAI

Reasoning-oriented Grok variant built for multi-step problem solving and agentic tool use, with strict prompt adherence and low hallucination.

上下文: 2M
输入 / 1M tokens: $2.5
输出 / 1M tokens: $5
缓存读 / 1M: $0.4
缓存写 / 1M: $0

ReasoningChain of ThoughtInstruction FollowingAgent

grok-4.3

文本图像文本

xAI

Grok 4.3 is a reasoning model from xAI that supports text and image inputs with text output. It is suited for agentic workflows, instruction following, long-document analysis, and deep research. The model supports a 1M token context window. Requests above 200K total tokens are billed at a higher rate.

上下文: 1M
输入 / 1M tokens: $2.5
输出 / 1M tokens: $5
缓存读 / 1M: $0.4
缓存写 / 1M: $0

Production CodeStructured OutputReasoning

grok-4.5

文本图像文本

xAI

Grok's flagship reasoning model, running an internal chain of thought before responding. Strong performance on coding and STEM tasks, with support for text, image, and file inputs. Suited for technical problem-solving and long-document analysis.

上下文: 500K
输入 / 1M tokens: $2
输出 / 1M tokens: $6
缓存读 / 1M: $0.5
缓存写 / 1M: $0

CodingReasoningFrontierChain of Thought

grok-4.6

文本图像文本

xAI

Grok's agent-oriented release, built for long-running multi-step work across a codebase. Accepts text, image, and file inputs. Suited for research and interactive or visual output.

上下文: 500K
输入 / 1M tokens: $2
输出 / 1M tokens: $6
缓存读 / 1M: $0.5
缓存写 / 1M: $0

CodingReasoningFrontierLong Text Processing

mimo-v2-pro

文本文本

xiaomi

Flagship agent model for complex workflows.

上下文: 1.1M
输入 / 1M tokens: $2
输出 / 1M tokens: $6
缓存读 / 1M: $0.4
缓存写 / 1M: $0

CodingMarketingFinance

需要完整模型清单或企业接入方案？进入控制台