Mistral NeMo (2407)

Released
2024-07-18
Last refreshed
2026-10-07
Status
Researched 138d ago
Open sourceCommercial use: permittedLong context
MistralAI releases · 18 in the last 12 monthsChangelog →
Specifications
Released
2024-07-18
Context
128K
Parameters
12B
Architecture
Decoder Only
Knowledge cutoff
2024-04
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$0.040
Input / 1M
$0.020

Cheapest of 7 routes · Vercel AI Gateway

About

Mistral NeMo is a 12B parameter open-source language model developed by Mistral AI, designed for efficient performance and reasoning tasks. With a 128K token context window, it excels at handling long documents and complex reasoning. The model is optimized for fast inference while maintaining strong performance across multiple benchmarks, making it suitable for enterprise deployments where balance between performance and resource efficiency is critical.

Providers(7)

Compare all 7

Compare API pricing across 7 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Vercel AI Gateway$0.020$0.040-
Serverless
Mistral AI Studio$0.150$0.150-
Serverless
OpenRouter$0.150$0.150read $0.015
Serverless
Novita AI$0.040$0.170-
Serverless
Fireworks AI$0.200$0.200-
Serverless
SiliconFlow$0.300$0.300-
Serverless
Bitdeer AI$0.180$0.540-
Serverless

Available via routers & gateways(10)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Long context

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

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