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 | 0.5B/1.5B/3B/7B/14B/32B/72B |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.36DeepInfra |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $0.40DeepInfra |
| — | $92.00DeepInfra · fp8 | |
| Overview | ||
| Company | NVIDIA | Qwen |
| Release date | Oct 23 2026 | Sep 19 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Qwen2.5vsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolQwen2.5vsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonQwen2.5vsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenQwen2.5vsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsGrok 4.7Qwen2.5vsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Qwen2.5vsDeepSeek-V4.1-Flash-1017Frequently asked questions
Nemotron 3.5 Bolt E4B 4GB and Qwen2.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5 shipped 764 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Nemotron 3.5 Bolt E4B 4GB has 8B parameters, while Qwen2.5 has 0.5B/1.5B/3B/7B/14B/32B/72B.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Bolt E4B 4GB and Qwen2.5 don't publish scores on any of the same benchmarks.