Mistral AI · language model
Mistral Nemo: pricing, context and benchmarks
Mistral Nemo is a language model from Mistral AI released on July 19, 2024. It costs $0.03 per million input tokens and $0.03 per million output tokens, with a 131.1K-token context window. Epoch AI ranks it #124 of 125 rated models.
What you need to know about Mistral Nemo
Mistral Nemo was released by Mistral AI (France) on July 19, 2024. It accepts text as input and produces text. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 16,384 tokens in one go.
Released more than 2 years ago, it belongs to a generation most vendors have since superseded.
Mistral Nemo pricing
On OpenRouter, Mistral Nemo costs $0.03 per million input tokens and $0.03 per million output tokens. Counting three tokens read for every token written, its average price is $0.029 per million, more expensive than 0 % of paid models (26.3 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0001. At 1,000 tasks a day, budget $2 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
The Epoch Capabilities Index (ECI), which aggregates published results across many benchmarks, gives Mistral Nemo a score of 118.7 (range 111.1 to 121.4). That places it #124 of 125 rated models.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at April 2024.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other Mistral AI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Mistral Large 4 | Oct 6, 2026 | $2.07 | 150 |
| Mistral Medium 3.5 | Apr 30, 2026 | $3 | 141.4 |
| Mistral Small 4 | Mar 16, 2026 | $0.26 | — |
| Devstral 2 2512 | Dec 9, 2025 | $0.8 | — |
| Ministral 3 14B 2512 | Dec 2, 2025 | $0.2 | — |
| Ministral 3 8B 2512 | Dec 2, 2025 | $0.15 | — |
| Ministral 3 3B 2512 | Dec 2, 2025 | $0.1 | — |
| Mistral Large 3 2512 | Dec 1, 2025 | $0.75 | — |
Verdict
Mistral Nemo scores 47/100 on our grid, which only uses published figures.
Strengths
- Low price: cheaper than 100 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- Modest performance: behind 98 % of rated models.
- Older generation, often replaced by a newer model from the same vendor.
- Text only: reads neither images nor files.
Alternatives
- Gemma 3 4B$0.04
- Gemma 3 12B$0.08
- gpt-oss-20b$0.04
- Gemma 3 27B$0.15
- Phi 4$0.09
- GPT-4o-mini$0.26
Comparisons and tools
Learn more
Frequently asked questions
How much does Mistral Nemo cost?
$0.03 per million input tokens and $0.03 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0001.
How big is Mistral Nemo's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 16,384 output tokens.
Can Mistral Nemo run locally?
Yes, its weights are published.
Is Mistral Nemo suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
How good is Mistral Nemo?
Epoch AI ranks it #124 of 125 rated models (ECI 118.7).
What are the alternatives to Mistral Nemo?
The closest models on price and performance are Gemma 3 4B, Gemma 3 12B, and gpt-oss-20b.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score