Anthropic
claude-opus-5-5· Verified November 10, 2026Claude Opus 5.5 pricing and benchmarks
Anthropic’s recommended default model for most workloads, with adaptive thinking always on.
Input
$4.00
per 1M tokens
Cached input
$0.20
per 1M tokens
Output
$20.00
per 1M tokens
Capability index
166.8
#1 of 25 tracked
How capable is Claude Opus 5.5?
Claude Opus 5.5 scores 166.8 on the Epoch Capabilities Index (confidence interval 163.5–171.0), ranking #1 of the 25 rated models we track. It is a best-value pick: no cheaper model we track scores higher.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 90.6% |
| FrontierMath (Tiers 1–3) | Advanced math | 91.2% |
| SimpleQA Verified | Factual accuracy | 72.2% |
| ARC-AGI-2 | Abstract reasoning | 93.3% |
| DeepSWE | Coding | — |
| APEX-Agents | Agentic work | 73.5% |
Source: Epoch AI (as “Claude Opus 5.5”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What Claude Opus 5.5 costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $1,400 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $2,200 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $936.00 |
Cached chatbot The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache. | $1,058 |
Meeting notes 10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each. | $680.00 |
Bulk translation 200,000 short translations a month, ~800 input and ~800 output tokens each. | $3,840 |
Content moderation 1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each. | $3,200 |
Article drafting 300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each. | $34.80 |
Code review bot 30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens. | $849.00 |
Invoice extraction 100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each. | $980.00 |
Pricing details
- Cache reads cost 5% of the input price, against 10% on Claude Opus 5 and Sonnet 5.
- Cache writes cost $5 (5-minute cache) or $8 (1-hour cache) per 1M tokens.
- Fast mode costs $8 input / $40 output per 1M tokens.
- US-only inference (inference_geo: "us") costs 1.1x.
Interactive Estimator
Estimate your Claude Opus 5.5 bill
- Claude Opus 5.5Anthropic$2,200/mo$0.04 / req
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.
Claude Opus 5.5 pricing FAQs
- When was Claude Opus 5.5 released?
- Anthropic released Claude Opus 5.5 on September 22, 2026. Its API ID is claude-opus-5-5, at $4.00 input / $20.00 output per 1M tokens.
- How much does Claude Opus 5.5 cost per 1M tokens?
- Claude Opus 5.5 costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, and $0.20 per 1M cached input tokens on Anthropic’s standard tier.. Cached input tokens cost $0.20 per 1M.
- What is Claude Opus 5.5’s context window?
- You can prompt Claude Opus 5.5 with up to 1M tokens. It can generate up to 128K tokens per response.
- Does Claude Opus 5.5 have a batch API discount?
- Yes. Asynchronous batch jobs cost 50% less: $2.00 input / $10.00 per 1M tokens.
- How does Claude Opus 5.5’s price compare with other AI models?
- Sorted by blended price (3 input : 1 output), Claude Opus 5.5 is #24 of the 27 models we track, at $8.00 per 1M tokens blended. It is a best-value pick: no cheaper tracked model scores higher on the Epoch Capabilities Index.
- How capable is Claude Opus 5.5?
- Epoch AI rates Claude Opus 5.5 at 166.8 on its Capabilities Index — rank #1 of 25 rated models, with a confidence interval of 163.5–171.0.