Claude Opus 5.5

Released
2026-09-22
Last refreshed
2026-09-28
Status
Researched 20d ago
ProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionJSON / Tool useAgentCodingHighlight
Anthropic releases · 16 in the last 12 months · this family litChangelog →
Specifications
Released
2026-09-22
Context
1M
Max output
128K
Architecture
Decoder Only
Knowledge cutoff
2026-06
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Developing safe and ethical AI systems.

San Francisco, California, United States
Founded 2021
Website
Pricing
Output / 1M
$20.00
Input / 1M
$4.00

Cheapest of 5 routes · Anthropic · cache read $0.200

About

Anthropic's Claude Opus 5.5, first model in the Claude 5.5 family, released September 22, 2026. First-party positioning: long-running agentic coding and knowledge work; performs at the level of Claude Fable 5.1 on most work; typical workloads about 40% less cost than Opus 5 at default settings (list input/output 20% below Opus 5; cache reads 60% below). Claude API id claude-opus-5-5. List price $4 per 1M input and $20 per 1M output; cache reads $0.20 per 1M tokens (0.05x base input); 5-minute cache writes $5; 1-hour cache writes $8; Batch API 50% off ($2/$10).

Providers(5)

Compare all 5

Compare API pricing across 5 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MBatch in / outCacheRoute
Anthropic$4.00$20.00$2.00 / $10.00read $0.200 / 5m $5.00 / 1h $8.00
Serverless
AWS Bedrock$4.00$20.00-read $0.200 / 5m $5.00 / 1h $8.00
Serverless
GCP Vertex AI$4.00$20.00-read $0.200 / 5m $5.00 / 1h $8.00
Serverless
Microsoft Foundry$4.00$20.00-read $0.200 / 5m $5.00 / 1h $8.00
Serverless
OpenRouter$4.00$20.00-read $0.200
Serverless

Available via routers & gateways(16)

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt CachingBatch API

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(5)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
ARC-AGI-293.3ARC-AGI-2 semi-privateObserved 2026-10-01
Configuration: claude-opus-5-5 (High)
Harness: ARC Prize semi-private evaluation
Evaluator: ARC Prize Foundation
Confidence: confirmed
Notes: ARC Prize official leaderboard data (ARC-AGI-2 semi-private), verified in https://arcprize.org/media/data/leaderboard/v2.json (generatedAt 2026-10-01T18:51Z) for modelDisplayName 'Claude Opus 5.5 (High)'. Highest-scoring published effort selected. Discovered via Benchmark Heaven / Epoch AI mirror (lead only).
Source
CursorBench57.8CursorBench 4.0Observed 2026-10-05
Configuration: claude-opus-5-5 (Max)
Harness: CursorBench 4.0 productized Cursor-agent workflow
Evaluator: Cursor
Confidence: confirmed
Cost/task: $13.43
Tokens/task: 218,363
Steps/task: 185
Notes: Cursor vendor-reported CursorBench 4.0 configuration result; verified on https://cursor.com/cursorbench chart label 'Opus 5.5 Max' (retrieved 2026-10-05). Not independently reproducible. Highest-scoring published configuration selected; timestamp is retrieval date (page carries no per-row date). Cost/tokens/steps from cursor.com/cursorbench table row (same retrieval).
Source
FrontierCode 1.1 Main54.6FrontierCode 1.1 MainObserved 2026-10-05
Configuration: claude-opus-5-5 (Medium)
Harness: claude-code
Evaluator: Cognition
Confidence: confirmed
Notes: Cognition FrontierCode 1.1 Main (100 tasks) mean@5 composite ('new_score'), verified in https://cognition.com/data/frontiercode-leaderboard/data.json (the data file behind https://cognition.com/frontiercode), retrieved 2026-10-05. Agent harness: claude-code. Highest-scoring published effort selected; timestamp is retrieval date.
Source
FrontierMath Tier 495.0FrontierMath Tier 4 v2 (private)Observed 2026-09-22
Configuration: claude-opus-5-5 (Max)
Harness: Epoch AI FrontierMath Tier 4 v2 private set
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file frontiermath_tier_4_v2.csv, row 'claude-opus-5-5_max', run started 2026-09-22). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).
Source
Google-Proof Q&A90.6diamondObserved 2026-09-22
Configuration: claude-opus-5-5 (Max)
Harness: Epoch AI Inspect harness (GPQA Diamond, 198 Q)
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file gpqa_diamond.csv, row 'claude-opus-5-5_max', run started 2026-09-22). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).
Source

Migration checks

No linked migration route is available for this model yet.

API versions

claude-opus-5-5Claude Opus 5.5Opus 5.5

Rankings & picks(1)