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. | 70B | 70B |
| 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. | $0.10DeepInfra | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.32DeepInfra | — |
| Overview | ||
| Company | Meta | NVIDIA |
| Release date | Dec 6 2024 | Oct 15 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
LLaMA 3.3vsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsClaude Haiku 5.5LLaMA 3.3vsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGPT-6.1 SolLLaMA 3.3vsGemini 4 ArgonLlama 3.1 Nemotron 70BvsGemini 4 ArgonLLaMA 3.3vsGrok 4.7Llama 3.1 Nemotron 70BvsGrok 4.7LLaMA 3.3vsDeepSeek-V4.1-FlashLlama 3.1 Nemotron 70BvsDeepSeek-V4.1-FlashLLaMA 3.3vsMistral Large 4Llama 3.1 Nemotron 70BvsMistral Large 4Frequently asked questions
LLaMA 3.3 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama 3.1 Nemotron 70B shipped 52 days before LLaMA 3.3, so benchmark comparisons should account for the intervening progress.
LLaMA 3.3 has 70B parameters, while Llama 3.1 Nemotron 70B has 70B.
Direct benchmark comparisons are unavailable — LLaMA 3.3 and Llama 3.1 Nemotron 70B don't publish scores on any of the same benchmarks.