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 | DeepSeek | NVIDIA |
| Release date | Dec 10 2024 | Aug 11 2026 |
| Access | Open Weight | Open Source |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5 (Revised)vsClaude Sonnet 5.5Nemotron 3.5 LightningvsClaude Sonnet 5.5DeepSeek V2.5 (Revised)vsGPT-6.1 SolNemotron 3.5 LightningvsGPT-6.1 SolDeepSeek V2.5 (Revised)vsGemini 4 ArgonNemotron 3.5 LightningvsGemini 4 ArgonDeepSeek V2.5 (Revised)vsMuse Spark 1.3Nemotron 3.5 LightningvsMuse Spark 1.3DeepSeek V2.5 (Revised)vsGrok 4.7Nemotron 3.5 LightningvsGrok 4.7DeepSeek V2.5 (Revised)vsMistral Medium 3.5Nemotron 3.5 LightningvsMistral Medium 3.5Frequently asked questions
DeepSeek V2.5 (Revised) and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 (Revised) shipped 609 days before Nemotron 3.5 Lightning, so benchmark comparisons should account for the intervening progress.
DeepSeek V2.5 (Revised) is open weight, while Nemotron 3.5 Lightning is open source.
Direct benchmark comparisons are unavailable — DeepSeek V2.5 (Revised) and Nemotron 3.5 Lightning don't publish scores on any of the same benchmarks.