Compare AI models
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 10% | 49% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 33.3% | 68% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 62.3% |
| Overview | ||
| Company | Anthropic | Anthropic |
| Release date | Mar 4 2024 | Feb 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
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Claude 3.7 Sonnet leads Claude 3 Haiku on 2 of the 2 benchmarks they both report (BullshitBench v2, GPQA Diamond). Claude 3 Haiku shipped 357 days before Claude 3.7 Sonnet, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On BullshitBench v2, Claude 3.7 Sonnet leads at 49% vs Claude 3 Haiku at 10%. On GPQA Diamond, Claude 3.7 Sonnet leads at 68% vs Claude 3 Haiku at 33.3%.