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. | 8B | — |
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. | 64k | 32k |
| These models have no shared benchmark scores. | ||
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. | — | 38.7% |
| Overview | ||
| Company | NVIDIA | Qwen |
| Release date | Oct 23 2026 | Jan 28 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Qwen2.5-MaxvsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolQwen2.5-MaxvsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonQwen2.5-MaxvsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenQwen2.5-MaxvsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsGrok 4.7Qwen2.5-MaxvsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Nemotron 3.5 Bolt E4B 4GB 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 633 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Context windows are 64k (Nemotron 3.5 Bolt E4B 4GB) vs 32k (Qwen2.5-Max). Nemotron 3.5 Bolt E4B 4GB is open weight, while Qwen2.5-Max is closed.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt E4B 4GB and Qwen2.5-Max don't publish scores on any of the same benchmarks.