Compare AI models
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.05DeepInfra |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $0.10DeepInfra |
| 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. | 50% | 3% |
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. | 40.6% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 41.6% | — |
| Overview | ||
| Company | Anthropic | |
| Release date | Oct 22 2024 | Mar 12 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Claude 3.5 Haiku leads Gemma 3 on 1 of the 1 benchmark they both report (BullshitBench v2). Claude 3.5 Haiku shipped 141 days before Gemma 3, so benchmark comparisons should account for the intervening progress.
Claude 3.5 Haiku is closed, while Gemma 3 is open weight.
On BullshitBench v2, Claude 3.5 Haiku leads at 50% vs Gemma 3 at 3%.