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Claude Opus 5

AnthropicLarge Language ModelProprietary

Anthropic's flagship Opus-tier model, released July 2026. Within 0.5% of Claude Fable 5 on agentic coding benchmarks at half the cost, with adaptive thinking on by default and state-of-the-art results in debugging, computer use, and long self-verifying tasks.

Abilities

Text GenerationCode GenerationReasoningMathVisionFunction CallingStructured OutputLong ContextMultilingual

Use Cases

Coding AssistantResearchEnterpriseData AnalysisAutomation

Available in Tools

Availability

Claude Mobile
Amazon Bedrock
Google Vertex AI
Microsoft Foundry

How to Use

Use the Anthropic Messages API with model ID `claude-opus-5`. Adaptive thinking is on by default; control depth with the `effort` parameter (low through max). A fast mode research preview is available at $10/$50 per MTok.

Pros

  • Near-Fable-5 quality at half the price — within 0.5% on agentic coding benchmarks at $5/$25 per MTok
  • 1M token context window with 128K max output (300K via Batch API beta)
  • Adaptive thinking on by default — unlike Opus 4.8, no configuration needed for deep reasoning
  • State-of-the-art computer use and debugging — top scores on OSWorld 2.0 and root-cause analysis tasks
  • Optional fast mode (research preview) with up to 2.5x higher output speed at $10/$50 per MTok
  • Available on AWS Bedrock, Google Vertex AI, and Microsoft Foundry for enterprise compliance

Cons

  • Closed source — no self-hosting or model customization
  • Not eligible for Priority Tier capacity reservations
  • Slower than Sonnet 5 and Haiku 4.5 for latency-sensitive interactive use
  • At $5/1M input still costly for very high-volume pipelines

What to Use It For

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Perfect For

Agentic coding and autonomous debugging

Near-Fable-5 coding quality at half the cost — the best price-to-capability ratio in the frontier tier

Computer use and UI automation

State-of-the-art OSWorld 2.0 results for automating browser and desktop workflows

Long self-verifying autonomous tasks

Designed to pace itself, verify its own work, and finish long-horizon tasks gracefully

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Good For

Enterprise knowledge work and analysis

Strong reasoning and document analysis at a practical frontier-tier price

Processing massive documents and codebases

1M context window holds entire repos or book-length documents in context

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Not Recommended

High-volume cost-sensitive batch tasks

At $5/1M input, Sonnet 5 ($2/1M) or Haiku 4.5 ($1/1M) are much cheaper for bulk work

Try instead: Claude Sonnet 5, Claude Haiku 4.5

Latency-critical real-time chat

Deep adaptive reasoning adds perceptible delay — Sonnet 5 is faster for interactive applications

Try instead: Claude Sonnet 5

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Do Not Use For

Image generation

Text and vision LLM only — no image generation capabilities

Try instead: GPT Image 2.5, FLUX.2 Pro

Self-hosting or offline use

Closed source cloud-only model — completely dependent on the Anthropic API

Try instead: Llama 4 Maverick, Qwen 3

Technical Details

Pricing$5 / 1M input tokens, $25 / 1M output tokens (fast mode: $10 / $50)
ParametersUndisclosed
detail.contextWindow1M tokens (128K max output)

Links