โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

MiniMax M2.7 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 MiniMax M2.7 and Mistral Large 3.

MiniMax

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

View Full Specs
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.

View Full Specs

Technical Specifications

SpecificationMiniMax M2.7Mistral Large 3
ProviderMiniMaxMistral
Context Window204,800 tokens262,144 tokens
Agent SuitabilityN/A91/100
Time to First Token (TTFT)N/A250 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-182024-07-24

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2.7

$0.18

Mistral Large 3

$0.50

Output Price per Million Tokens

MiniMax M2.7

$0.72

Mistral Large 3

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
8250.0%vs8680.0%
MiniMax M2.7
Mistral Large 3
HumanEvalPython coding & logic synthesis
8000.0%vs8820.0%
MiniMax M2.7
Mistral Large 3
MATHComplex mathematical problem solving
5400.0%vs7950.0%
MiniMax M2.7
Mistral Large 3
GPQAGraduate-level expert reasoning
3900.0%vs5850.0%
MiniMax M2.7
Mistral Large 3
HellaSwagCommonsense reasoning and inference
8400.0%vs9000.0%
MiniMax M2.7
Mistral Large 3
MT-BenchMulti-turn conversation flow quality
870.0%vs900.0%
MiniMax M2.7
Mistral Large 3

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.

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