Nemotron 3.5 LightningvsQwen3
Nemotron 3.5 Lightning | Qwen3 | |
|---|---|---|
| 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 | 235B |
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 · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $0.70 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $2.80 |
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. | — | $0.0482StreamLake |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $0.1931StreamLake |
| BenchmarksPublished by one model only | ||
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 | Apr 29 2025 |
| Access | Open Source | Open Weight |
Other comparisons
Frequently asked questions
Nemotron 3.5 Lightning and Qwen3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3 has a verified first-party API price: $0.70 per million input tokens and $2.80 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. Qwen3 shipped 469 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Nemotron 3.5 Lightning has 30B parameters, while Qwen3 has 235B. Context windows are 1M (Nemotron 3.5 Lightning) vs 128k (Qwen3). Nemotron 3.5 Lightning is open source, while Qwen3 is open weight.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Lightning and Qwen3 don't publish scores on any of the same benchmarks.
Nemotron 3.5 Lightning was released by NVIDIA on Aug 11 2026.
Qwen3 was released by Qwen on Apr 29 2025.
Only Qwen3 has a verified first-party API price: $0.70 per million input tokens and $2.80 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. Rates are pay-as-you-go API prices verified on August 18, 2026.
Nemotron 3.5 Lightning has a 1M context window; Qwen3 has 128k.
Nemotron 3.5 Lightning is an open source model released by NVIDIA. Qwen3 is an open weight model released by Qwen.