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Kimi K2.7 Code 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 Kimi K2.7 Code and MiniMax M2.7.

Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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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

SpecificationKimi K2.7 CodeMiniMax M2.7
ProviderMoonshot AIMiniMax
Context Window262,144 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-122026-03-18

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.7 Code

$0.74

MiniMax M2.7

$0.18

Output Price per Million Tokens

Kimi K2.7 Code

$3.50

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
8500.0%vs8250.0%
Kimi K2.7 Code
MiniMax M2.7
HumanEvalPython coding & logic synthesis
9320.0%vs8000.0%
Kimi K2.7 Code
MiniMax M2.7
MATHComplex mathematical problem solving
7650.0%vs5400.0%
Kimi K2.7 Code
MiniMax M2.7
GPQAGraduate-level expert reasoning
4600.0%vs3900.0%
Kimi K2.7 Code
MiniMax M2.7
HellaSwagCommonsense reasoning and inference
8600.0%vs8400.0%
Kimi K2.7 Code
MiniMax M2.7
MT-BenchMulti-turn conversation flow quality
900.0%vs870.0%
Kimi K2.7 Code
MiniMax M2.7

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.