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  1. Models
  2. Text
  3. Mistral

Mistral Nemo

12B parameter model with multilingual support.

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.10
Output
$0.121
Compare provider prices

Specifications

Context window
16.4K
Max output
8.2K
Parameters
12B
Avg output (7d)
177 tokens
Longer than 11% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto
Recommended
$0.10$0.121N/AN/AN/A
Kitani
Kitani
INT4
GLB
$0.0948$0.114$0.0474N/AN/A
Privacy:ZDR, prompts not retained
Batch API
ProviderInputOutputCached input
Auto
Automistralai/mistral-nemo-instruct-2407
$0.10/M$0.121/MN/A

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Mistral Nemo with similar models from the same provider or model family.

Mistral Small 3 24B (2501)

mistralai/mistral-small-24b-instruct-2501

Mistral Small 3 24B (2501) hosted by IONOS in Berlin, Germany. Zero data retention.

Mistral Small 4 119B Thinking

mistralai/mistral-small-4-119b-2603:thinking

Mistral Small 4 with reasoning enabled (reasoning_effort=high). A hybrid MoE model with deep step-by-step reasoning for complex prompts, coding, and multi-step problem solving.

Mistral Small 4 119B

mistralai/mistral-small-4-119b-2603

Mistral Small 4 is a hybrid MoE model that unifies instruct, reasoning, and coding behavior in a single multimodal model. It supports text and image input, native function calling, JSON output, and per-request reasoning effort controls.

Mixtral 8x22B

mistralai/mixtral-8x22b-instruct-v0.1

Mixtral 8x22B is a powerful sparse Mixture of Experts (MoE) model with 141B total parameters and 39B active per token. Features a 64K context window, exceptional math performance, and cost-efficient inference. Supports English, French, German, Spanish, and Italian. Apache 2.0 licensed.

Devstral 2 123B

mistralai/devstral-2-123b-instruct-2512

Devstral 2 123B is a 123 billion parameter model from Mistral AI optimized for coding and development tasks. Features advanced reasoning capabilities for software engineering workflows.

Ministral 3 14B

mistralai/ministral-14b-instruct-2512

Ministral 3 14B is a balanced model in the Ministral 3 family, designed for edge deployment. A powerful, efficient language model with vision capabilities, fine-tuned for instruction tasks. Features multilingual support, strong system prompt adherence, and native function calling. Apache 2.0 licensed.