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claude-fable-5

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Anthropic

Claude Fable 5 is Anthropic’s advanced long-horizon reasoning model, supporting text, image, and file inputs with text output. It features reasoning capabilities and a 1M-token context window, making it suitable for autonomous knowledge work, software development, and complex multi-step tasks.

上下文
1M
输入 / 1M tokens
$10
输出 / 1M tokens
$50
缓存读 / 1M
$1
缓存写 / 1M
$12.5
CodingReasoningVisionFrontier

gpt-5-pro

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OpenAI

The deep-reasoning flagship in the GPT-5 family, always running at high thinking effort and slower to respond, suited for hard analysis or coding where accuracy outranks speed.

上下文
400K
输入 / 1M tokens
$15
输出 / 1M tokens
$120
缓存读 / 1M
$0
缓存写 / 1M
$0
ReasoningFrontierChain of ThoughtDeep Analysis

gpt-5.2-pro

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OpenAI

Flagship reasoning model tuned for agentic coding and long-context analysis, with steadier instruction following and fewer hallucinations on high-stakes workflows.

上下文
400K
输入 / 1M tokens
$21
输出 / 1M tokens
$168
缓存读 / 1M
-
缓存写 / 1M
-
FrontierLong Text ProcessingAgent CodingAgent

gpt-5.4-pro

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OpenAI

Flagship GPT-5.4 variant with chain-of-thought reasoning tuned for agentic coding and multi-step problem solving on high-stakes tasks.

上下文
1.1M
输入 / 1M tokens
$30
输出 / 1M tokens
$180
缓存读 / 1M
$0
缓存写 / 1M
$0
ReasoningFrontierChain of ThoughtAgent Coding

gpt-5.5-pro

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OpenAI

Reasoning-heavy GPT-5.5 tier tuned for long-horizon agentic coding and complex multi-step workflows, with image input.

上下文
1.1M
输入 / 1M tokens
$30
输出 / 1M tokens
$180
缓存读 / 1M
-
缓存写 / 1M
-
ReasoningFrontierComplex PlanningAgent Coding

gpt-5.5-beta

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OpenAI

GPT-5.5 natively supports video comprehension, speech emotion recognition, and autonomous tool calling, delivering omni-modal foundational capabilities for agent-based execution of complex tasks.

上下文
1.1M
输入 / 1M tokens
$10
输出 / 1M tokens
$45
缓存读 / 1M
$1
缓存写 / 1M
$0
CodingProduction CodeInstruction Following

o3-pro

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OpenAI

Reasoning-focused variant in the o3 family that produces longer chain-of-thought traces and accepts image inputs. Suited for harder math proofs, scientific reasoning, and multi-step coding tasks, with more consistent outputs across repeated runs.

上下文
200K
输入 / 1M tokens
$20
输出 / 1M tokens
$80
缓存读 / 1M
$0
缓存写 / 1M
$0
ReasoningVisionFrontierCoding
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