MODEL PROOF
Mistral Nemo
NOT INDEPENDENTLY RATED
No independent LMArena score is published for this model.
Serving precision differs between offers.
- Independent LMArena score
- Not independently rated
- Context window
- 131.07K
- Maximum output
- 16.38K
- Input modalities
- text
- Output modalities
- text
- Published input price
- $0.018 / 1M tokens
- Published output price
- $0.030 / 1M tokens
- Pricing kind
- fixed
Inspect complete billing conditions and endpoint terms below.
Price from DekaLLM: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.
Every price dimension · USD per million tokens
| Input | $0.018/M |
|---|---|
| Output | $0.030/M |
| Cached input | Unknown/M |
| Cache write | Unknown/M |
| Cache write 1h | Unknown/M |
| Reasoning | Unknown/M |
Who sells it
The same weights, different shops. Cheapest is not like-for-like when serving precision differs.
Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.023/M from Io Net.
6 provider offers · rates, limits and conditions
Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.
| Seller | Input | Output | Precision | Uptime (1d) |
|---|---|---|---|---|
| DekaLLMdekallm/fp8 Endpoint terms
| $0.018 | $0.030 | fp8 | 99.81% |
| DeepInfradeepinfra/fp8 Endpoint terms
| $0.019 | $0.030 | fp8 | 99.94% |
| Io Netio-net/fp16 Endpoint terms
| $0.023 | $0.030 | fp16 | 99.87% |
| Parasailparasail/fp8 Endpoint terms
| $0.030 | $0.030 | fp8 | 99.96% |
| Novitanovita/fp8 Endpoint terms
| $0.040 | $0.170 | fp8 | 78.48% |
| Mistralmistral/eu Endpoint terms
| $0.150 | $0.150 | undeclared | 98.09% |
Independent scores
No independent benchmark has measured this model. Unrated is not a score of zero.
Capability
| Context window | 131K |
|---|---|
| Max output | 16K |
| Input modes | text |
| Tool use | yes |
| Reasoning | no |
| Knowledge cutoff | 2024-04-30 |
| Open weights | Unknown |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-10-06 |
| Quality data | unrated |
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Questions this page answers
What does Mistral Nemo cost?
$0.018/M in, $0.030/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.
Does Mistral Nemo have an independent quality score?
Mistral Nemo has no independent quality score in this catalogue. Unrated is not a score of zero.
What beats Mistral Nemo?
Mistral Nemo has no independent quality score. Unrated is not a score of zero.
Does this page use Artificial Analysis scores for Mistral Nemo?
No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.
Does a missing score mean Mistral Nemo scored zero?
Unrated is not a score of zero.
Is the cheapest Mistral Nemo endpoint the same product?
Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.023/M from Io Net.
MODEL MONUMENT
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The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.
[](https://undominated.ai/models/mistralai__mistral-nemo/)<a href="https://undominated.ai/models/mistralai__mistral-nemo/"><img src="https://undominated.ai/badge/mistralai__mistral-nemo.svg" alt="Mistral Nemo — Undominated.ai dominance verdict" height="36"></a>Direct file: https://undominated.ai/badge/mistralai__mistral-nemo.svg — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never
older than the last deploy.
