Model comparison

Granite 4.0 Micro vs Kimi K2.7 Code

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 42× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

Kimi K2.7 Code Moonshot AI

43.0

Rank #90 Confirmed

Summary

  • They share 3 benchmarks with published results for both. Granite 4.0 Micro scores higher in 0 categories and Kimi K2.7 Code in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2.7 Code leads 53.6 to 9.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.8% for Granite 4.0 Micro and 95.6% for Kimi K2.7 Code.
  • Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

Side by side

Granite 4.0 Micro and Kimi K2.7 Code specifications
Granite 4.0 MicroKimi K2.7 Code
ProviderIBMMoonshot AI
Noometry Index28.843.0
Released2025-10-022026-06-12
WeightsOpenOpen
Context window131K262K
Max output118K262K
Input $ / M tokens$0.017$0.95
Output $ / M tokens$0.11$4
Results tracked819

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, Kimi K2.7 Code: 42.4 (#92)

Coding benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
DeepSWE—30.5%
FrontierCode—30.1%
LMArena WebDev—1473
SciCode—47.5%
WeirdML—54.1%
ALE-Bench—886.23

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, Kimi K2.7 Code: 23.9 (#115)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
APEX-Agents—37.6%
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Kimi K2.7 Code leads

Granite 4.0 Micro: 18.5 (#261), Kimi K2.7 Code: 38.2 (#56)

Reasoning benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
Chess Puzzles0%21%
SimpleBench—57.9%
CritPt—10%
Surface Evolver Bench—48.8%
Epoch Capabilities Index—150.01

Math Kimi K2.7 Code leads

Granite 4.0 Micro: 11.2 (#301), Kimi K2.7 Code: 52.6 (#39)

Math benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
OTIS Mock AIME 2024-20252.8%95.6%
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
Omni-MATH20.9%—

Knowledge Kimi K2.7 Code leads

Granite 4.0 Micro: 9.9 (#299), Kimi K2.7 Code: 53.6 (#51)

Knowledge benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
GPQA Diamond28.3%87.9%
SimpleQA Verified—36.5%
MMLU-Pro39.5%—
GPQA (HELM)30.7%—

Instruction Following Not comparable

Granite 4.0 Micro: 70.0 (#164), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
IFEval84.9%—

Writing & Preference Not comparable

Granite 4.0 Micro: 46.7 (#212), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkGranite 4.0 MicroKimi K2.7 Code
WildBench67%—

Frequently asked questions

Is Granite 4.0 Micro better than Kimi K2.7 Code?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 42× 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, Granite 4.0 Micro or Kimi K2.7 Code?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Kimi K2.7 Code share?

3 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Kimi K2.7 Code has 19.

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