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. | — | 253B |
| Benchmarks | ||
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% | 76% |
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% | — |
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% | — |
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. | — | 66.3% |
| Overview | ||
| Company | Anthropic | NVIDIA |
| Release date | Oct 22 2024 | Apr 8 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Llama Nemotron Ultra 253B leads Claude 3.5 Haiku on 1 of the 1 benchmark they both report (GPQA Diamond). Claude 3.5 Haiku shipped 168 days before Llama Nemotron Ultra 253B, so benchmark comparisons should account for the intervening progress.
Claude 3.5 Haiku is closed, while Llama Nemotron Ultra 253B is open weight.
On GPQA Diamond, Llama Nemotron Ultra 253B leads at 76% vs Claude 3.5 Haiku at 41.6%.