Claude Opus 5.5
- Family
- Claude 5.5
- Released
- 2026-09-22
- Context
- 1M
- Max output
- 128K
- Architecture
- Decoder Only
- Knowledge cutoff
- 2026-06
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryRestricted
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
Cheapest of 5 routes · Anthropic · cache read $0.200
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 5Compare API pricing across 5 tracked provider routes for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| Anthropic | $4.00 | $20.00 | $2.00 / $10.00 | 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 |
| AWS Bedrock | $4.40 | $22.00 | - | read $0.220 / 5m $5.50 / 1h $8.80 | Serverless |
Available via routers & gateways(16)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 500+ models from 80+ providers via a single OpenAI-compatible API, with an optional Auto Router that selects a model per prompt from market spend data.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, caching, and guardrails; MIT-licensed open-source core is self-hostable. Now part of Palo Alto Networks as Prisma AIRS AI Gateway.
AIRouter
RouterCommercial LLM router (branded "AI Router" on its site) that picks the best model per request via a Decision API or an OpenAI-compatible Chat Completions endpoint, with a private selection mode that routes on anonymized patterns; sold as BYOK subscription plans priced by routed tokens.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native prompt router that predicts each model's performance per request and routes between two models of the same family (Anthropic Claude, Meta Llama or Amazon Nova).
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(10)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| 93.3 | ARC-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). | ||
| 57.8 | CursorBench 4.0Observed 2026-10-05 | Configuration: 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). | ||
| 54.6 | FrontierCode 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. | ||
| 95.0 | FrontierMath 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). | ||
| 90.6 | diamondObserved 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). | ||
| 64.8 | Terminal-Bench 4.0Observed 2026-10-26 | Configuration: Opus 5.5 (max) Harness: Claude Code Evaluator: Terminal-Bench leaderboard Confidence: confirmed Notes: Terminal-Bench official leaderboard (tbench.ai, 4.0 tab, headless-Chrome capture 2026-10-26). Board row: rank 1 'Opus 5.5 (max)', agent Claude Code, 64.8% ± 3.1%, dated Sep 22, 2026. Board value used. Anthropic's model page and system card headline 66.4% / 66.36% at xhigh effort with safeguards enabled, and the card states max effort scores 64.8%, which matches this board row. Retrieved 2026-10-26. | ||
| 89.9 | SWE-bench Pro (subset unstated); adaptive thinking, max effort; avg of 5 trialsObserved 2026-10-26 | Configuration: claude-opus-5-5 (max effort) Harness: Anthropic system-card standard configuration (scaffold not named); average of five trials Evaluator: Anthropic Confidence: self-reported Notes: Anthropic system card, Table 8.1.A and SWE-bench Pro section. Configuration: adaptive thinking at max effort, default sampling settings, averaged over five trials. The card does not name the agent harness/scaffold or the subset (public vs commercial). Sentence: 'Claude Opus 5.5 achieved 89.9%.' Harness not stated in the system card. Retrieved 2026-10-26. | ||
| 1509.0 | text_style_control overall 2026-10-22 (style control, default view)Observed 2026-10-26 | Configuration: Claude Opus 5.5 (High) Harness: LMArena blind pairwise human votes, Bradley-Terry Evaluator: LMArena Confidence: confirmed Notes: LMArena text style control leaderboard, overall category, published 2026-10-22 (HF lmarena-ai/leaderboard-dataset @9761a3ce, latest split). Board entry 'Claude Opus 5.5 (High)': rank 2, Arena Score 1508.7 (95% CI 1501.9-1515.5), 10322 votes. Retrieved 2026-10-26. | Source Source: LMArena (lmarena.ai), CC BY 4.0 | |
| 1293.0 | vision_style_control overall 2026-10-19 (style control, default view)Observed 2026-10-26 | Configuration: Claude Opus 5.5 (High) Harness: LMArena blind pairwise human votes, Bradley-Terry Evaluator: LMArena Confidence: confirmed Notes: LMArena vision style control leaderboard, overall category, published 2026-10-19 (HF lmarena-ai/leaderboard-dataset @9761a3ce, latest split). Board entry 'Claude Opus 5.5 (High)': rank 10, Arena Score 1293.0 (95% CI 1281.2-1304.7), 3035 votes. Retrieved 2026-10-26. | Source Source: LMArena (lmarena.ai), CC BY 4.0 | |
| 1534.0 | text creative_writing 2026-10-22Observed 2026-10-22 | Configuration: Claude Opus 5.5 (High) Harness: LMArena blind pairwise human votes, Bradley-Terry Evaluator: LMArena Confidence: confirmed Notes: LMArena Text arena, Creative Writing category (no style control), board published 2026-10-22 (HF lmarena-ai/leaderboard-dataset @a467e6b9, text config, latest split). Board entry 'Claude Opus 5.5 (High)' (category creative_writing in text/latest-00000-of-00001.parquet): rank 1 of 416, rating 1534.2 (95% CI 1520.6-1547.8), 2453 votes. Source: LMArena (CC BY 4.0). Retrieved 2026-10-27. | Source Source: LMArena (lmarena.ai), CC BY 4.0 |
Migration checks
No linked migration route is available for this model yet.
API versions
claude-opus-5-5Claude Opus 5.5Opus 5.5