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Claude Opus 5 vs Claude Opus 5.5: pricing and benchmarks

Claude Opus 5.5 is 20% cheaper on input tokens ($4.00 vs $5.00 per 1M). Claude Opus 5.5 is 20% cheaper on output tokens ($20.00 vs $25.00 per 1M). On our document Q&A workload (50,000 questions a month), Claude Opus 5.5 costs $2,200 a month versus $2,750 for Claude Opus 5, 20% less. Epoch AI has not published a capability index score for Claude Opus 5.5 yet.

Prices verified September 26, 2026.

Which should you choose?

Overall capability
Too close to call

Epoch AI has not published a capability index score for Claude Opus 5.5 yet.

Price
Claude Opus 5.5

Claude Opus 5.5 costs $8.00 per 1M tokens (3:1 input-to-output mix) vs $10.00 for Claude Opus 5, 20% less.

Pricing and specs

Claude Opus 5Claude Opus 5.5
ProviderAnthropicAnthropic
API model IDclaude-opus-5claude-opus-5-5
Input / 1M tokens$5.00$4.00
Cached input / 1M tokens$0.50$0.20
Output / 1M tokens$25.00$20.00
Long-context rates——
Context window1M tokens1M tokens
Max output128K tokens128K tokens
Batch discount50% off50% off

Benchmarks

Claude Opus 5Claude Opus 5.5
Epoch Capabilities Index162.3—
GPQA Diamond· Science reasoning91.8%—
FrontierMath (Tiers 1–3)· Advanced math85.6%—
SimpleQA Verified· Factual accuracy59.9%—
ARC-AGI-2· Abstract reasoning90.4%—
DeepSWE· Coding73.6%—
APEX-Agents· Agentic work43.5%—

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadClaude Opus 5Claude Opus 5.5Difference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$1,750$1,400Claude Opus 5.5 20% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$2,750$2,200Claude Opus 5.5 20% cheaper
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$1,240$936.00Claude Opus 5.5 25% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Claude Opus 5 vs Claude Opus 5.5 cost calculator

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 pricing notes

Anthropic’s model for complex agentic coding and enterprise work.

  • Cache writes cost $6.25 (5-minute cache) or $10 (1-hour cache) per 1M tokens.
  • Uses Anthropic’s newer tokenizer, which produces roughly 30% more tokens for the same text.
  • US-only inference (inference_geo: "us") costs 1.1x.
Anthropic official pricing ↗

Claude Opus 5.5 pricing notes

Anthropic’s recommended default model for most workloads, with adaptive thinking always on.

  • 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.
  • US-only inference (inference_geo: "us") costs 1.1x.
Anthropic official pricing ↗

Frequently asked questions

Is Claude Opus 5 cheaper than Claude Opus 5.5?
Claude Opus 5.5 is 20% cheaper on input tokens ($4.00 vs $5.00 per 1M). Claude Opus 5.5 is 20% cheaper on output tokens ($20.00 vs $25.00 per 1M). On our document Q&A workload (50,000 questions a month), Claude Opus 5.5 costs $2,200 a month versus $2,750 for Claude Opus 5, 20% less.
Which is more capable, Claude Opus 5 or Claude Opus 5.5?
Epoch AI has not published a capability index score for Claude Opus 5.5 yet.
How much does Claude Opus 5 cost per 1M tokens?
Claude Opus 5 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens, and $0.50 per 1M cached input tokens on Anthropic’s standard tier.
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.
Which has the larger context window, Claude Opus 5 or Claude Opus 5.5?
Both offer a 1M-token context window.

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