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Codestral 2508 vs MiniMax M2.7

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 Codestral 2508 and MiniMax M2.7.

Mistral

Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

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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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Technical Specifications

SpecificationCodestral 2508MiniMax M2.7
ProviderMistralMiniMax
Context Window256,000 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012026-03-18

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

MiniMax M2.7

$0.18

Output Price per Million Tokens

Codestral 2508

$0.90

MiniMax M2.7

$0.72

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
N/Avs8250.0%
Codestral 2508
MiniMax M2.7
HumanEvalPython coding & logic synthesis
N/Avs8000.0%
Codestral 2508
MiniMax M2.7
MATHComplex mathematical problem solving
N/Avs5400.0%
Codestral 2508
MiniMax M2.7
GPQAGraduate-level expert reasoning
N/Avs3900.0%
Codestral 2508
MiniMax M2.7
HellaSwagCommonsense reasoning and inference
N/Avs8400.0%
Codestral 2508
MiniMax M2.7
MT-BenchMulti-turn conversation flow quality
N/Avs870.0%
Codestral 2508
MiniMax M2.7

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.