Mistral NeMovso1
Mistral NeMo | o1 | |
|---|---|---|
| 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. | 12B | — |
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. | 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 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. | $0.044Io Net | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.16Io Net | — |
| BenchmarksPublished by one model only | ||
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 | Mistral | OpenAI |
| Release date | Jul 18 2024 | Dec 5 2024 |
| Access | Open Weight | Proprietary |
Other comparisons
Frequently asked questions
Mistral NeMo 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 Mistral NeMo. Mistral NeMo shipped 140 days before o1, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Mistral NeMo) vs 200k (o1). Mistral NeMo is open weight, while o1 is proprietary.
Direct benchmark comparisons are unavailable — Mistral NeMo and o1 don't publish scores on any of the same benchmarks.
Mistral NeMo was released by Mistral on Jul 18 2024.
o1 was released by OpenAI on Dec 5 2024.
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 Mistral NeMo. Rates are pay-as-you-go API prices verified on August 18, 2026.
Mistral NeMo has a 128k context window; o1 has 200k.
Mistral NeMo is an open weight model released by Mistral. o1 is a proprietary model released by OpenAI.