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. | 30B | 72B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 1M | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.045Wafer | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.13Wafer | — |
These models have no shared benchmark scores. | ||
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. | 51.6% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 75.4% | — |
| Overview | ||
| Company | NVIDIA | Qwen |
| Release date | Aug 11 2026 | Jun 6 2024 |
| Access | Open Source | Open Weight |
| Model details | View model | View model |
Other comparisons
Nemotron 3.5 LightningvsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5Nemotron 3.5 LightningvsGPT-6.1 SolQwen2vsGPT-6.1 SolNemotron 3.5 LightningvsGemini 4 ArgonQwen2vsGemini 4 ArgonNemotron 3.5 LightningvsMuse Spark 1.3Qwen2vsMuse Spark 1.3Nemotron 3.5 LightningvsGrok 4.7Qwen2vsGrok 4.7Nemotron 3.5 LightningvsDeepSeek-V4.1-FlashQwen2vsDeepSeek-V4.1-FlashFrequently asked questions
Nemotron 3.5 Lightning and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 796 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Nemotron 3.5 Lightning has 30B parameters, while Qwen2 has 72B. Context windows are 1M (Nemotron 3.5 Lightning) vs 128k (Qwen2). Nemotron 3.5 Lightning is open source, while Qwen2 is open weight.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Lightning and Qwen2 don't publish scores on any of the same benchmarks.