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MiniMax M2.7 vs Voxtral Small 24B 2507

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 Voxtral Small 24B 2507.

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

Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

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Technical Specifications

SpecificationMiniMax M2.7Voxtral Small 24B 2507
ProviderMiniMaxMistral
Context Window204,800 tokens32,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-182025-10-30

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2.7

$0.18

Voxtral Small 24B 2507

$0.10

Output Price per Million Tokens

MiniMax M2.7

$0.72

Voxtral Small 24B 2507

$0.30

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
Voxtral Small 24B 2507
HumanEvalPython coding & logic synthesis
8000.0%vsN/A
MiniMax M2.7
Voxtral Small 24B 2507
MATHComplex mathematical problem solving
5400.0%vsN/A
MiniMax M2.7
Voxtral Small 24B 2507
GPQAGraduate-level expert reasoning
3900.0%vsN/A
MiniMax M2.7
Voxtral Small 24B 2507
HellaSwagCommonsense reasoning and inference
8400.0%vsN/A
MiniMax M2.7
Voxtral Small 24B 2507
MT-BenchMulti-turn conversation flow quality
870.0%vsN/A
MiniMax M2.7
Voxtral Small 24B 2507

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.

Voxtral Small 24B 2507 Quirks & Gotchas

No developer gotchas reported.