NVIDIA: Mistral Medium 3
Mistral Medium 3 is a language model from NVIDIA released on Sep 25, 2025. It reads text and images and writes text, with a 131K token context window and up to 33K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 131K
- Max output
- 33K
- Released
- Sep 25, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Mistral Medium 3 pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What Mistral Medium 3 costs per month
Pick a workload close to yours or type your own volumes.
Alternatives to Mistral Medium 3
Models that take the same inputs, closest in price, cheaper ones first.
- 1.05M context
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by nvidiaApr 2, 2026$0/M input tokens$0/M output tokens
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Reads text and images.
by paddlepaddleJan 29, 2026$0/M input tokens$0/M output tokens
More from NVIDIA
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Mistral Medium 3 questions
How much does the Mistral Medium 3 API cost?
$0 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Mistral Medium 3?
131,072 tokens of input, and it can write up to 32,768 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Mistral Medium 3 support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is Mistral Medium 3 open source?
No. NVIDIA serves it through an API only, so you cannot download the weights or host it yourself.
When was Mistral Medium 3 released?
Sep 25, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Mistral Medium 3?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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