Claude 3.7 Sonnet w/ Review Heavy: benchmark scores, price and ranking

Claude 3.7 Sonnet w/ Review Heavy from Anthropic ranks #184 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.5), based on 1 benchmark results captured up to 2026-10-14.

Organisation
Anthropic
Type
Frontier model
Open weights
No
Aggregate rank
#184 of 743 (score 50.5)

Across the 1 benchmark where at least ten models are scored, Claude 3.7 Sonnet w/ Review Heavy is in the top 10% on 0 and in the top half on 1.

Claude 3.7 Sonnet w/ Review Heavy benchmark results

Claude 3.7 Sonnet w/ Review Heavy benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
SWE-bench Verified62.4%#29 of 73SWE-bench Verified leaderboard2026-10-14

About Claude 3.7 Sonnet w/ Review Heavy

Claude 3.7 Sonnet w/ Review Heavy is a frontier model from Anthropic. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Claude 3.7 Sonnet w/ Review Heavy stands

On our aggregate score, Claude 3.7 Sonnet w/ Review Heavy is #184 of 743 ranked models, in the top quarter. Its score is 50.5; the scale is centred on 50, so it sits 0.5 points above the typical model. That beats 75% of the ranked field. Among the 70 ranked Anthropic models it is #30. The next one up is Claude Sonnet 4.5 (59k thinking) at 50.6. The next one down is swe-search at 50.5.

Claude 3.7 Sonnet w/ Review Heavy, benchmark by benchmark

SWE-bench Verified puts Claude 3.7 Sonnet w/ Review Heavy at 62.4%, #29 of 73. That beats 60% of the models tested, but 21.1 points short of Claude Opus 4.7 (max) (83.5%). The results either side are Kimi K2 Thinking (63.4%) and swe-search (62.2%). It covers real GitHub issues resolved. The board median is 56.4%, so Claude 3.7 Sonnet w/ Review Heavy is 6.0 points above it. Source: SWE-bench Verified leaderboard, captured 2026-10-14.

Reading these numbers

The 1 score on this page comes from 1 source: SWE-bench Verified leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works