Mistral Nemo Instruct 2407
Chat model by Mistral AI.
Mistral AI language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation.
Context window
Maximum input context length.
131.1K
Maker
Mistral AI
Specifications
Context window, ranked against other chat models
Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.
131.1K
tokens—
chat
Pricing
Rates are read live
Pricing for mistralai/Mistral-Nemo-Instruct-2407 is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Mistral Nemo Instruct 2407 is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from Mistral AI
Start building with mistralai/Mistral-Nemo-Instruct-2407
One API key, three steps. Choose your tool to begin.
Get a key
Create API keySet your API key
export NROUTER_API_KEY="<YOUR_API_KEY>"Configure Claude Code
Choose a tool, then copy its setup from the panel.
FAQs
What is Mistral Nemo Instruct 2407?
Mistral AI language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation.
How much does Mistral Nemo Instruct 2407 cost?
Mistral Nemo Instruct 2407 is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
What is the context length of Mistral Nemo Instruct 2407?
Mistral Nemo Instruct 2407 supports a 131,072-token context window.
Does Mistral Nemo Instruct 2407 support tool calling and structured outputs?
Yes. Mistral Nemo Instruct 2407 supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.
What inputs and outputs does Mistral Nemo Instruct 2407 support?
Mistral Nemo Instruct 2407 takes text as input and returns text as output.
How do I use Mistral Nemo Instruct 2407 via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "deepinfra/mistralai/Mistral-Nemo-Instruct-2407". The quick-start panel above has a copy-paste curl command for this model.
When was Mistral Nemo Instruct 2407 released?
Mistral Nemo Instruct 2407 was released on October 7, 2026.
Where is the Mistral Nemo Instruct 2407 documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other text models does Mistral AI have?
Other Mistral AI text models on nRouter include Voxtral Small 24B (Audio) (nrouter.ai/models/voxtral-small-24b-2507), Pixtral Large (2502) (nrouter.ai/models/pixtral-large-2502), Magistral Small (2509) (nrouter.ai/models/magistral-small-2509), Ministral 3 3B Instruct (nrouter.ai/models/ministral-3-3b-instruct).