models/anthropic/claude-opus-5-fast
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Anthropic·active

Claude Opus 5 (Fast)

Anthropic's mid-tier model. Long-context specialist with 1M window.

Overall score
4.54
/5.00 · ranked #26
Input
$10.00
per 1M tokens
Output
$50.00
per 1M tokens
Context
1M
tokens
Blended
$40.00
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
4.0
Strategic Analysis
5.0
Constrained Rewriting
5.0
Creative Problem Solving
5.0
Tool Calling
5.0
Faithfulness
5.0
Classification
4.0
Long Context
5.0
Safety Calibration
1.0
Persona Consistency
5.0
Agentic Planning
5.0
Multilingual
5.0
Tabular Data
5.0

What you need to know

Claude Opus 5 (Fast) is optimized for high-complexity reasoning and agentic workflows, achieving perfect internal scores in strategic analysis, creative problem solving, and agentic planning. Its primary technical advantage is the combination of a 1M token context window and high faithfulness, making it suitable for processing massive datasets without losing coherence or hallucinating details.

The model is positioned at a premium price point, with a blended cost of $40.00/MTok. While expensive, the cost is justified for developers requiring high-tier capabilities in constrained rewriting and tool calling. However, it shows a significant deficiency in safety calibration, scoring 1/5, which suggests it may lack the restrictive guardrails found in other enterprise models.

Performance is slightly lower in basic utility tasks, with classification and structured output trailing its reasoning capabilities at 4/5. This indicates the model is better suited for open-ended synthesis than rigid data extraction or simple labeling.

Use this model if your application requires complex agentic planning, deep strategic analysis, or processing very large documents. Skip this model if you are on a tight budget, require strict safety filtering, or only need a model for basic classification and structured data output.

Strengths — Top 3

Strategic Analysis5.0/5.0
Constrained Rewriting5.0/5.0
Creative Problem Solving5.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration1.0/5.0
Structured Output4.0/5.0
Classification4.0/5.0

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