Model comparison

Kimi K2.7 Code vs MiniMax M1

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 40.3 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Summary

  • The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 36.4.
  • MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • MiniMax M1 accepts more context: 1M tokens versus 262K.

Side by side

Kimi K2.7 Code and MiniMax M1 specifications
Kimi K2.7 CodeMiniMax M1
ProviderMoonshot AIMiniMax
Noometry Index43.340.3
Released2026-06-122025-06-13
WeightsOpenOpen
Context window262K1M
Max output262K40K
Input $ / M tokens$0.95$0.55
Output $ / M tokens$4$2.20
Results tracked1918

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Category by category

Coding Kimi K2.7 Code leads

Kimi K2.7 Code: 42.9 (#95), MiniMax M1: 39.9 (#153)

Coding benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
DeepSWE30.5%—
FrontierCode30.1%—
LMArena WebDev1473—
SciCode47.5%—
WeirdML54.1%—
LMArena Coding—1359
ALE-Bench886.23—

Agentic & Tool Use Not comparable

Kimi K2.7 Code: 24.0 (#122), MiniMax M1: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
APEX-Agents37.6%—
GBAEval0.9%—
Vending-Bench 25,083—

Reasoning Kimi K2.7 Code leads

Kimi K2.7 Code: 39.0 (#61), MiniMax M1: 26.9 (#126)

Reasoning benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
SimpleBench57.9%—
CritPt10%—
Chess Puzzles21%—
LMArena Hard Prompts—1339
Surface Evolver Bench48.8%—
Epoch Capabilities Index149.97—

Math Kimi K2.7 Code leads

Kimi K2.7 Code: 52.9 (#48), MiniMax M1: 37.5 (#151)

Math benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
FrontierMath (Tiers 1-3)54%—
FrontierMath Tier 412.2%—
OTIS Mock AIME 2024-202595.6%—
LMArena Math—1361

Knowledge Kimi K2.7 Code leads

Kimi K2.7 Code: 53.5 (#57), MiniMax M1: 36.4 (#170)

Knowledge benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
GPQA Diamond87.9%—
SimpleQA Verified36.5%—
LMArena Expert—1317

Multilingual Not comparable

Kimi K2.7 Code: —, MiniMax M1: 45.8 (#163)

Multilingual benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
LMArena Non-English—1319
LMArena Chinese—1360
LMArena French—1370
LMArena German—1350
LMArena Japanese—1217
LMArena Korean—1266
LMArena Russian—1329
LMArena Spanish—1353

Instruction Following Not comparable

Kimi K2.7 Code: —, MiniMax M1: 69.3 (#174)

Instruction Following benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
LMArena Instruction Following—1312

Long Context Not comparable

Kimi K2.7 Code: —, MiniMax M1: 41.4 (#141)

Long Context benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
Fiction.LiveBench—69.4%
LMArena Longer Query—1326

Writing & Preference Not comparable

Kimi K2.7 Code: —, MiniMax M1: 53.1 (#161)

Writing & Preference benchmarks
BenchmarkKimi K2.7 CodeMiniMax M1
LMArena Text—1343
LMArena Creative Writing—1298
LMArena Multi-Turn—1335

Frequently asked questions

Is Kimi K2.7 Code better than MiniMax M1?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 40.3 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Which is cheaper, Kimi K2.7 Code or MiniMax M1?

MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is Kimi K2.7 Code or MiniMax M1 better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 262K.

How many benchmarks do Kimi K2.7 Code and MiniMax M1 share?

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and MiniMax M1 has 18.

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