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Command R+ vs Mistral Large 3

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R+ and Mistral Large 3.

Cohere

Command R+

Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.

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Mistral

Mistral Large 3

Mistral's flagship commercial model, boasting multilingual support and advanced coding and math skills. Designed for complex reasoning and enterprise tasks that require high compliance.

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Technical Specifications

SpecificationCommand R+Mistral Large 3
ProviderCohereMistral
Context Window128,000 tokens262,144 tokens
Agent Suitability86/10091/100
Time to First Token (TTFT)350 ms250 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042024-07-24

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

Mistral Large 3

$0.50

Output Price per Million Tokens

Command R+

$10.00

Mistral Large 3

$1.50

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7570.0%vs8680.0%
Command R+
Mistral Large 3
HumanEvalPython coding & logic synthesis
7800.0%vs8820.0%
Command R+
Mistral Large 3
MATHComplex mathematical problem solving
6200.0%vs7950.0%
Command R+
Mistral Large 3
GPQAGraduate-level expert reasoning
4200.0%vs5850.0%
Command R+
Mistral Large 3
HellaSwagCommonsense reasoning and inference
8250.0%vs9000.0%
Command R+
Mistral Large 3
MT-BenchMulti-turn conversation flow quality
800.0%vs900.0%
Command R+
Mistral Large 3

Command R+ Quirks & Gotchas

  • โ–ธOptimized for RAG workflows โ€” best enterprise document search model
  • โ–ธTool calling requires explicit step definitions in Cohere's tool-use format

Mistral Large 3 Quirks & Gotchas

  • โ–ธTop-tier structured JSON output โ€” best multilingual function calling
  • โ–ธLe Chat offers free consumer tier with same underlying model