LLM Reference

Mistral Large 2 (2407)

Released
2024-07-23
Last refreshed
2026-06-30
Status
Researched 131d ago
Open weightsCommercial use: non-commercialRAGLong contextVisionClassificationJSON / Tool use

Mistral Large 2 (2407) is worth evaluating for rag, long context, and vision when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, long context, and vision
  • Workloads that can use a 128k context window
  • Buyers comparing 3 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Released
2024-07-23
Context
128k
Parameters
123B
Architecture
Decoder Only
Knowledge cutoff
2024-03
Specialization
general
Openness
Open weights
License
Mistral LicenseCommercial use: non-commercial
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Enterprise AI solutions for trust and transparency.

Paris, France
Founded 2023
Website
Pricing
Output / 1M
$1.50
Input / 1M
$0.500

Cheapest of 3 routes · Chutes AI

About

Flagship sparse MoE Mistral model (675B total, 41B active) with 256K context and multimodal capabilities. Leads benchmarks in complex reasoning and long-context processing.

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Vision

Included by capability and metadata signals in the decision map.

Capabilities

VisionStructured Outputs

Benchmark peer barsfor RAG

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

Migration checks

No linked migration route is available for this model yet.

Compare Mistral Large 2 (2407) with other models