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. | 284B | 8B |
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 | — |
| API pricingUSD per 1M tokens · lower wins | ||
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. | $0.05Relace | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.14StreamLake | — |
| $21.00StreamLake · fp8 | — | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 18% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 91.6% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 88.1% | — |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Apr 24 2026 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek-V4-FlashvsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5DeepSeek-V4-FlashvsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolDeepSeek-V4-FlashvsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonDeepSeek-V4-FlashvsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenDeepSeek-V4-FlashvsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7DeepSeek-V4-FlashvsMistral Large 4Nemotron 3.5 Bolt E4B 4GBvsMistral Large 4Frequently asked questions
DeepSeek-V4-Flash and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-V4-Flash shipped 182 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
DeepSeek-V4-Flash has 284B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — DeepSeek-V4-Flash and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.