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Claude Opus 5.5 vs Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)

Anthropic · released

Wins 3 of 5 areas

Coding · Reasoning · Long documents

Anthropic · released

Wins 0 of 5 areas

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Claude Opus 5.5 is the stronger all-rounder.Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) is cheaper.

Scores updated · 10 tests both models report · How we compare

Where each one wins

Tests won in each of the five areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Coding and long documents rest on a single test each.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

Claude Opus 5.5$4.00 to read · $20.00 to write$24Price from Anthropic's own price page
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)$2.00 to read · $10.00 to write$12Price from Artificial Analysis

Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) costs 50% less for the same work.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where Claude Opus 5.5 pulls ahead

  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+12.2points aheadClaude Opus 5.566.2Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)54
  • Very hard expert questions across many subjectsHumanity's Last Exam+6.4points aheadClaude Opus 5.561.4Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)55
  • Code for real scientific research problemsSciCode+5.9points aheadClaude Opus 5.566.9Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)61

Where Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) pulls ahead

  • Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+11.6points aheadClaude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)53Claude Opus 5.541.4
  • Complex command-line tasks across many fieldsTerminal-Bench 4.0+4points aheadClaude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)63.6Claude Opus 5.559.6

Every test, side by side

All 10 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingClaude Opus 5.5
  • SciCodeClaude Opus 5.5 by 5.966.961+5.9

Full coding ranking

AgentsEven
  • Terminal-Bench 4.0Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) by 459.663.6+4
  • GDPValClaude Opus 5.5 by 1.368.367+1.3

Full agents ranking

ReasoningClaude Opus 5.5

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsClaude Opus 5.5
  • AA-LCRClaude Opus 5.5 by 284.782.7+2

Full long documents ranking

Other results2 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, Claude Opus 5.5 or Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)?

Claude Opus 5.5 wins three of the five areas where both have results: coding, reasoning and long documents. Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) wins none, but costs 50% less. They are level on agents and facts.

Which is better for coding?

Claude Opus 5.5. It wins the one coding test both models report.

Which is cheaper?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) costs $2.00 and $10.00. That makes Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) about 50% cheaper for the same work.

How do you compare the two?

We use the 10 benchmark tests both models have published scores on. The verdict counts the 8 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 2 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.