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MiniMax M2.7 vs Mistral Large 2407

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 2407.

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...

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Mistral

Mistral Large 2407

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

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Technical Specifications

SpecificationMiniMax M2.7Mistral Large 2407
ProviderMiniMaxMistral
Context Window204,800 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-182024-11-19

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2.7

$0.18

Mistral Large 2407

$2.00

Output Price per Million Tokens

MiniMax M2.7

$0.72

Mistral Large 2407

$6.00

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%vsN/A
MiniMax M2.7
Mistral Large 2407
HumanEvalPython coding & logic synthesis
8000.0%vsN/A
MiniMax M2.7
Mistral Large 2407
MATHComplex mathematical problem solving
5400.0%vsN/A
MiniMax M2.7
Mistral Large 2407
GPQAGraduate-level expert reasoning
3900.0%vsN/A
MiniMax M2.7
Mistral Large 2407
HellaSwagCommonsense reasoning and inference
8400.0%vsN/A
MiniMax M2.7
Mistral Large 2407
MT-BenchMulti-turn conversation flow quality
870.0%vsN/A
MiniMax M2.7
Mistral Large 2407

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.

Mistral Large 2407 Quirks & Gotchas

No developer gotchas reported.