Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 9B |
| 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% | 5% |
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% | 64% |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 71.1% |
| Overview | ||
| Company | Anthropic | NVIDIA |
| Release date | Mar 4 2024 | Aug 18 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Claude 3 Haiku and Nemotron Nano 2 are evenly matched across the 2 benchmarks they both report (BullshitBench v2, GPQA Diamond). Claude 3 Haiku shipped 532 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
Claude 3 Haiku is closed, while Nemotron Nano 2 is open weight.
On BullshitBench v2, Claude 3 Haiku leads at 10% vs Nemotron Nano 2 at 5%. On GPQA Diamond, Nemotron Nano 2 leads at 64% vs Claude 3 Haiku at 33.3%.