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Haiku 5.5 vs Sonnet 5.5

Anthropic · released

Wins 0 of 2 areas

—

Anthropic · released

Wins 2 of 2 areas

Coding · Reasoning

Sonnet 5.5 is the stronger all-rounder.

Scores updated · 28 tests both models report · How we compare

Where each one wins

Tests won in each of the two 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.

Reasoning rests on a single test.

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.

Haiku 5.5No current price is tracked.
Sonnet 5.5$2.00 to read · $10.00 to write$12Price from Anthropic's own price page

The biggest differences

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

Where Sonnet 5.5 pulls ahead

  • Long, multi-file coding tasks in real codebasesSWE-bench Pro+16.5points aheadSonnet 5.581.3Haiku 5.564.8
  • Very hard expert questions across many subjectsHumanity's Last Exam+7.1points aheadSonnet 5.564.5Haiku 5.557.4
  • Fixes real GitHub issues in many programming languagesSWE-bench Multilingual+6.6points aheadSonnet 5.590.3Haiku 5.583.7

Where Haiku 5.5 pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 28 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingSonnet 5.5

Full coding ranking

ReasoningSonnet 5.5

Full reasoning ranking

Other results25 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.

  • Terminal-Bench-Science 0.1Sonnet 5.5 by 39.320.659.9+39.3
  • Terminal-Bench 4.0Sonnet 5.5 by 31.439.270.6+31.4
  • SWE-bench MultimodalSonnet 5.5 by 23.630.754.3+23.6
  • GDPval-AA 2.1Sonnet 5.5 by 220 rating points16201840+220 rating
  • Election integrity multi-turn (appropriate response rate) - API, without a system promptHaiku 5.5 by 139986+13
  • Election integrity multi-turn (appropriate response rate) - Claude.aiHaiku 5.5 by 129886+12
  • OSWorld 2.1 (offline subset)Sonnet 5.5 by 11.97283.9+11.9
  • OSWorld 2.1Sonnet 5.5 by 11.572.483.9+11.5
  • Child safety multi-turn appropriate response rate (API, without a system prompt)Haiku 5.5 by 109686+10
  • Suicide and self-harm multi-turn appropriate response rate (API, without a system prompt)Haiku 5.5 by 107060+10
  • Suicide and self-harm multi-turn appropriate response rate (Claude.ai)Sonnet 5.5 by 1090100+10
  • FrontierCode 1.1 (Main) xhighSonnet 5.5 by 6.345.852.1+6.3
  • HealthBench Professional length-adjustedSonnet 5.5 by 4.464.869.2+4.4
  • Program BenchHaiku 5.5 by 2.38279.7+2.3
  • Child safety multi-turn appropriate response rate (Claude.ai)Haiku 5.5 by 19998+1
  • FrontierCode Extendedtie58.459.1tie
  • Suicide and self-harm single-turn requests posing potential risk harmless rate (API, without a system prompt)tie99.699.1tie
  • Election integrity single-turn benign requests (refusal rate) - API, without a system prompttie0.30tie
  • Election integrity single-turn benign requests (refusal rate) - Claude.aitie0.30tie
  • FrontierCode 1.1 (Main) maxtie46.446.2tie
  • Suicide and self-harm single-turn requests posing potential risk harmless rate (Claude.ai)tie10099.8tie
  • Election integrity single-turn harmful requests (harmless rate) - API, without a system prompttie100100tie
  • Election integrity single-turn harmful requests (harmless rate) - Claude.aitie100100tie
  • Suicide and self-harm single-turn benign requests refusal rate (API, without a system prompt)tie00tie
  • Suicide and self-harm single-turn benign requests refusal rate (Claude.ai)tie0.40.4tie

Questions people ask

Which is better, Haiku 5.5 or Sonnet 5.5?

Sonnet 5.5 wins all two areas where both have results: coding and reasoning. Haiku 5.5 wins none.

Which is better for coding?

Sonnet 5.5. It wins 2 of the 2 coding tests both models report; Haiku 5.5 wins none.

How do you compare the two?

We use the 28 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 25 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.