For Developers/Models/Claude Opus 5.5
Closed SourceAnthropicReleased 2026-09

Claude Opus 5.5

The strongest-performing model we've tested to date

Context window

1M

Input / 1M tokens

$4.00

Output / 1M tokens

$20.00

Provider

Anthropic

Data verified 2026-09-23

Claude Opus 5.5 is Anthropic's flagship reasoning and coding model, featuring a 1M token context window and adaptive thinking. It performs at Claude Fable 5.1 level on most work while costing 40% less to run than Opus 5, with 30% faster output speeds. Optimized for agentic coding tasks, knowledge work, and financial analysis.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding
9
Reasoning
9
Math
8
Multimodal
8
Long context
9
Speed
8
Cost efficiency
9

How to access it

Available via Anthropic Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Accessible through Claude web interface and subscription plans.

Strengths

  • Achieves Fable 5.1-level performance at 40% lower cost
  • 1M token context window for long-running tasks
  • 30%+ faster output generation than Opus 5
  • Strongest performance on Anthropic's alignment tests
  • Multimodal input (text and images)
  • Improved clarity in communication

Best for developers who...

Complex coding and agentic tasksLong-horizon reasoningFinancial analysis and compliance workDocument extraction and visual analysisLegacy system migrations and code audits

When to choose it (and when not to)

Reach for Claude Opus 5.5 when...

  • When you need Fable-level performance at mid-tier pricing
  • For long-context coding and knowledge work
  • When cost-efficiency matters alongside capability

Look elsewhere if...

  • If you need the absolute highest performance (use Fable 5.1)
  • For simple, quick queries where faster/cheaper models suffice

How to use it

  • Leverage the 1M context window for comprehensive documents and conversation history
  • Adaptive thinking is always-on with medium as default effort level

Quickstart

Python
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
print(message.content[0].text)

Model ID is 'claude-opus-5-5' across all platforms (API, Bedrock, GCP, Azure)

API model id: claude-opus-5-5

Benchmarks

BenchmarkScoreNotes
Terminal Bench 4.066.4%Internal Anthropic benchmark
Anthropic Automated Behavioral AuditStrongest-performing model testedComprehensive alignment and safety evaluation

Source: Anthropic System Card

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