Mistral Nemo
Where it stands
Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.
About this model
Mistral Nemo is an AI model from Mistral AI, made available through the API on July 19, 2024. It can read up to 131,072 tokens in one request, roughly 246 pages of text, and write up to 16,384 tokens in a single answer.
Through the API it costs $0.019 per million input tokens and $0.03 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.
It can call tools and functions, so developers can connect it to search, databases or other software. Its weights are openly published (mistralai/Mistral-Nemo-Instruct-2407), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →Where to use it
Companies that serve this model through an API: 6. Prices per million tokens, cheapest first.
| Provider | Inputi | Outputi | Contexti | Uptime (24 h)i |
|---|---|---|---|---|
DekaLLMCheapestfp8 | $0.018 | $0.03 | 128K | 99.7% |
DeepInfrafp8 | $0.019 | $0.03 | 128K | 99.9% |
Parasailfp8 | $0.03 | $0.03 | 128K | 99.5% |
Io Netfp16 | $0.036 | $0.13 | 128K | 99.7% |
Novitafp8 | $0.04 | $0.17 | 60K | 58.5% |
MistralOfficial | $0.15 | $0.15 | 128K | 98.9% |
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Mistral Nemo through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mistralai/mistral-nemo", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="mistralai/mistral-nemo",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "mistralai/mistral-nemo",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.019
- Summarise a 100-page document$0.001
- An app with 10,000 requests a day for a month$9.30
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
DeepSeek V4 Flash 0731DeepSeek | $0.018 | $0.32 | 1M | Compare with ⇄ |
gpt-oss-20bOpenAI | $0.018 | $0.09 | 128K | Compare with ⇄ |
Ling 3.0 Flash VLinclusionAI (Ant Group) | $0.021 | $0.062 | 256K | Compare with ⇄ |
| $0.017 | $0.11 | 131K | Compare with ⇄ | |
Nex-N2.5-MiniNex Agi | $0.025 | $0.10 | 256K | Compare with ⇄ |
| $0.027 | $0.20 | 60K | Compare with ⇄ |
News about Mistral AI
See all →Frequently asked questions
- How much does Mistral Nemo cost?
- Mistral Nemo costs $0.019 per million input tokens and $0.03 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.019.
- What is the context window of Mistral Nemo?
- Mistral Nemo can read up to 131,072 tokens in one request, about 246 pages of text. It can write up to 16,384 tokens in a single answer.
- Is Mistral Nemo open source?
- Yes. Its weights are published (mistralai/Mistral-Nemo-Instruct-2407), so you can download it and run it on your own hardware, or use it through one of 6 API providers.
- Who makes Mistral Nemo?
- Mistral Nemo is made by Mistral AI. It became available through the API on July 19, 2024.
- How good is Mistral Nemo?
- Mistral Nemo has an overall index of 118.6 in Epoch AI’s independent tests, ranking #130 of 136 models we track.
- Can Mistral Nemo read images?
- No. Mistral Nemo only accepts text as input.
- What are the alternatives to Mistral Nemo?
- Models with a similar price from other companies include DeepSeek V4 Flash 0731, gpt-oss-20b and Ling 3.0 Flash VL. You can compare them side by side on this page.