Traffic rank on Composite
#198 of 200
0% of tokens and 0% of requests over 30 days.
AI model
Mistral: Mistral Nemo (Free)
mistralai/mistral-nemo:free
Mistral: Mistral Nemo (Free) is a 131,072-token model free on Composite. Ranked #198 of 200 models by traffic on Composite over the last 30 days, taking 0% of tokens and 0% of requests. 0 up and 2 down from 2 votes. A positive score is published once a model reaches 5 votes. Measured on Composite, 100.0% of its last 1 requests on Composite succeeded, the typical first token arrives in 637 ms, output runs at about 47.1 tokens per second.
Try in PlaygroundSpecifications
| Model ID | mistralai/mistral-nemo:free |
|---|---|
| Provider | cv11 |
| Context window | 131,072 tokens |
| Accepts | text |
| Returns | text |
| Input price | Included in free allowance |
| Output price | Included in free allowance |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | Free - does not spend plan credits |
| Routing endpoints | 1 |
Success rate
100.0%
Across the last 1 requests Composite served for this model.
Time to first token
637 ms
Median across the same sample.
Output speed
47.1 tok/s
Median generation rate after the first token.
Pricing
Free - 80 requests/day shared across free models
Credits pay the provider’s price plus 25%; cache hits cost less.
Monthly plans serve this model without spending any of their included credits.
Provider
cv11
Roleplay fit
Mistral models are compact and fast, a good fit when reply speed matters more than maximum context length.
Context behavior
With a 131,072-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is free on Composite, which makes it a reasonable place to test a character card, preset or lorebook before connecting your own provider.
From the provider
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,...
Supplied by cv11, not written by Composite.
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Mistral: Mistral Large 4 · Mistral: Mistral Medium 3.5 · Mistral: Mistral Small 4