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Kimi K2.6vsMiniMax-M2.7

Across 5 shared benchmarks, Kimi K2.6 leads overall: Kimi K2.6 wins 4, MiniMax-M2.7 wins 1, with 0 ties and an average score difference of +5.96.

Moonshot AI
Kimi K2.6

Moonshot AI · 2026-04-20 · Reasoning model

MiniMaxAI
MiniMax-M2.7

MiniMaxAI · 2026-03-18 · Reasoning model

Kimi K2.64 wins(80%)(20%)1 winMiniMax-M2.7

Benchmark scores

Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.

General Knowledge

Kimi K2.6 3/3
BenchmarkKimi K2.6MiniMax-M2.7Diff
HLE5415 / 172Thinking (With Tools + Internet)2896 / 172Thinking (No Tools)+26
LiveBench72.1728 / 115Thinking (No Tools)63.4956 / 115Deep Thinking (No Tools)+8.68
GPQA Diamond90.5018 / 187Thinking (No Tools)8742 / 187Thinking (No Tools)+3.50

Claw-style Agent Evaluation

MiniMax-M2.7 1/1
BenchmarkKimi K2.6MiniMax-M2.7Diff
Claw Bench80.9019 / 29Thinking (With Tools)91.705 / 29Thinking (With Tools)-10.80

Coding and Software Engineer

Kimi K2.6 1/1
BenchmarkKimi K2.6MiniMax-M2.7Diff
SWE-Bench Pro - Public58.6013 / 54Thinking (With Tools)56.2024 / 54Thinking (With Tools)+2.40

Specs

FieldKimi K2.6MiniMax-M2.7
PublisherMoonshot AIMiniMaxAI
Release date2026-04-202026-03-18
Model typeReasoning modelReasoning model
ArchitectureMoEMoE
Parameters1T229B
Context length256K200K
Max outputNot available200K

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemKimi K2.6MiniMax-M2.7
Text input$0.95 / 1M tokens$0.3 / 1M tokens
Text output$4 / 1M tokens$1.2 / 1M tokens
Cache read$0.16 / 1M tokens$0.06 / 1M tokens
Cache write$0.95 / 1M tokens$0.375 / 1M tokens

Summary

  • Kimi K2.6leads in:General Knowledge (3/3), Coding and Software Engineer (1/1)
  • MiniMax-M2.7leads in:Claw-style Agent Evaluation (1/1)

On average across the 5 shared benchmarks, Kimi K2.6 scores 5.96 higher.

Largest single-benchmark gap: HLE — Kimi K2.6 54 vs MiniMax-M2.7 28 (+26).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.