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 | 32k |
| These models have no shared benchmark scores. | ||
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% | — |
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 | Qwen |
| Release date | Aug 18 2025 | Jan 28 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron Nano 2vsClaude Haiku 5.5Qwen2.5-MaxvsClaude Haiku 5.5Nemotron Nano 2vsGPT-6.1 SolQwen2.5-MaxvsGPT-6.1 SolNemotron Nano 2vsGemini 4 ArgonQwen2.5-MaxvsGemini 4 ArgonNemotron Nano 2vsMuse Spark OpenQwen2.5-MaxvsMuse Spark OpenNemotron Nano 2vsGrok 4.7Qwen2.5-MaxvsGrok 4.7Nemotron Nano 2vsDeepSeek-V4.1-Flash-1017Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Nemotron Nano 2 and Qwen2.5-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Max shipped 202 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Nemotron Nano 2) vs 32k (Qwen2.5-Max). Nemotron Nano 2 is open weight, while Qwen2.5-Max is closed.
Direct benchmark comparisons are unavailable — Nemotron Nano 2 and Qwen2.5-Max don't publish scores on any of the same benchmarks.