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 | — |
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 | — |
| 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. | $0.039Darkbloom | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.16DeepInfra | — |
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 | Nov 7 2025 |
| Access | Open Source | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron 3.5 LightningvsClaude Sonnet 5.5GPT-5-Codex-MinivsClaude Sonnet 5.5Nemotron 3.5 LightningvsGemini 4 ArgonGPT-5-Codex-MinivsGemini 4 ArgonNemotron 3.5 LightningvsMuse Spark 1.3GPT-5-Codex-MinivsMuse Spark 1.3Nemotron 3.5 LightningvsGrok 4.7GPT-5-Codex-MinivsGrok 4.7Nemotron 3.5 LightningvsDeepSeek-V4.1-FlashGPT-5-Codex-MinivsDeepSeek-V4.1-FlashNemotron 3.5 LightningvsMistral Medium 3.5GPT-5-Codex-MinivsMistral Medium 3.5Frequently asked questions
Nemotron 3.5 Lightning and GPT-5-Codex-Mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5-Codex-Mini shipped 277 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
Nemotron 3.5 Lightning is open source, while GPT-5-Codex-Mini is closed.
Direct benchmark comparisons are unavailable — Nemotron 3.5 Lightning and GPT-5-Codex-Mini don't publish scores on any of the same benchmarks.