Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 9B | — |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 400k |
| 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. | 5% | 32% |
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% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 64% | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Aug 18 2025 | Nov 13 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron Nano 2vsClaude Fable 5.2GPT-5.1-CodexvsClaude Fable 5.2Nemotron Nano 2vsGemini 4 CarbonGPT-5.1-CodexvsGemini 4 CarbonNemotron Nano 2vsMuse EmberGPT-5.1-CodexvsMuse EmberNemotron Nano 2vsGrok 4.7GPT-5.1-CodexvsGrok 4.7Nemotron Nano 2vsDeepSeek-V4.1-Flash-1017GPT-5.1-CodexvsDeepSeek-V4.1-Flash-1017Nemotron Nano 2vsMistral Large 4GPT-5.1-CodexvsMistral Large 4Frequently asked questions
GPT-5.1-Codex leads Nemotron Nano 2 on 1 of the 1 benchmark they both report (BullshitBench v2). Nemotron Nano 2 shipped 87 days before GPT-5.1-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Nemotron Nano 2) vs 400k (GPT-5.1-Codex). Nemotron Nano 2 is open weight, while GPT-5.1-Codex is closed.
On BullshitBench v2, GPT-5.1-Codex leads at 32% vs Nemotron Nano 2 at 5%.