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. | 70B | — |
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. | 128k | 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. | — | $15.00 |
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. | — | $60.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $7.50 |
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. | — | $15.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $60.00OpenAI |
| — | $6,000OpenAI list price | |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 75.7% |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Oct 15 2024 | Dec 5 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Llama 3.1 Nemotron 70BvsClaude Haiku 5.5o1vsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsGemini 4 Argono1vsGemini 4 ArgonLlama 3.1 Nemotron 70BvsMuse Spark Openo1vsMuse Spark OpenLlama 3.1 Nemotron 70BvsGrok 4.7o1vsGrok 4.7Llama 3.1 Nemotron 70BvsDeepSeek-V4.1-Flash-1017o1vsDeepSeek-V4.1-Flash-1017Llama 3.1 Nemotron 70BvsMistral Large 4o1vsMistral Large 4Frequently asked questions
Llama 3.1 Nemotron 70B and o1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o1 has a verified first-party API price: $15.00 per million input tokens and $60.00 per million output tokens. No pay-as-you-go API rate is tracked for Llama 3.1 Nemotron 70B. Llama 3.1 Nemotron 70B shipped 51 days before o1, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Llama 3.1 Nemotron 70B) vs 200k (o1). Llama 3.1 Nemotron 70B is open weight, while o1 is closed.
Direct benchmark comparisons are unavailable — Llama 3.1 Nemotron 70B and o1 don't publish scores on any of the same benchmarks.