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. | 30B | — |
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. | 1M | 200k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $20.00 |
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. | — | $80.00 |
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. | $0.025Darkbloom | $20.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.12Darkbloom | $80.00OpenAI |
| $11.00Darkbloom · int4 | $8,000OpenAI list price | |
| 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 | OpenAI |
| Release date | Aug 11 2026 | Jun 10 2025 |
| Access | Open Source | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron 3.5 LightningvsClaude Haiku 5.5o3-provsClaude Haiku 5.5Nemotron 3.5 LightningvsGemini 4 Argono3-provsGemini 4 ArgonNemotron 3.5 LightningvsMuse Spark Openo3-provsMuse Spark OpenNemotron 3.5 LightningvsGrok 4.7o3-provsGrok 4.7Nemotron 3.5 LightningvsDeepSeek-V4.1-Flash-1017o3-provsDeepSeek-V4.1-Flash-1017Nemotron 3.5 LightningvsMistral Large 4o3-provsMistral Large 4Frequently asked questions
Nemotron 3.5 Lightning and o3-pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o3-pro has a verified first-party API price: $20.00 per million input tokens and $80.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3.5 Lightning. o3-pro shipped 427 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Nemotron 3.5 Lightning) vs 200k (o3-pro). Nemotron 3.5 Lightning is open source, while o3-pro is closed.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Lightning and o3-pro don't publish scores on any of the same benchmarks.