Model comparison

GLM-5.3-Flash vs Kimi K2.7 Code

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.3 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-5.3-Flash scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in agentic & tool use, where GLM-5.3-Flash leads 34.2 to 24.0.
  • The biggest single-benchmark swing is DeepSWE: 63.4% for GLM-5.3-Flash and 30.5% for Kimi K2.7 Code.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3-Flash and Kimi K2.7 Code specifications
GLM-5.3-FlashKimi K2.7 Code
ProviderZ.ai (Zhipu)Moonshot AI
Noometry Index51.843.3
Released2026-08-202026-06-12
WeightsOpenOpen
Context window1M262K
Max output131K262K
Input $ / M tokens$0.15$0.95
Output $ / M tokens$0.50$4
Results tracked4019

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Kimi K2.7 Code: 42.9 (#95)

Coding benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
DeepSWE63.4%30.5%
FrontierCode31.8%30.1%
LMArena WebDev16091473
SciCode51.6%47.5%
ALE-Bench303.55886.23
CursorBench36.8%—
FrontierSWE18.1%—
WeirdML—54.1%
LMArena Coding1508—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Kimi K2.7 Code: 24.0 (#122)

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
APEX-Agents52.8%37.6%
GBAEval—0.9%
GDP.pdf14%—
Vending-Bench 2—5,083

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Kimi K2.7 Code: 39.0 (#61)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
CritPt15.4%10%
Chess Puzzles14%21%
Surface Evolver Bench52.5%48.8%
Epoch Capabilities Index151.88149.97
ARC-AGI-265.8%—
SimpleBench—57.9%
ARC-AGI-191%—
LMArena Hard Prompts1491—
Mystery Game Puzzles8%—
Bench to the Future 30.15—

Math Too close to call

GLM-5.3-Flash: 53.3 (#47), Kimi K2.7 Code: 52.9 (#48)

Math benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
FrontierMath (Tiers 1-3)55.8%54%
FrontierMath Tier 417.1%12.2%
OTIS Mock AIME 2024-202593.9%95.6%
ProofBench21%—
LMArena Math1500—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Kimi K2.7 Code: 53.5 (#57)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
GPQA Diamond90.2%87.9%
SimpleQA Verified—36.5%
LMArena Expert1513—

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Kimi K2.7 Code: —

Multimodal benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.5 (#20), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3-Flash: 65.3 (#50), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashKimi K2.7 Code
LMArena Text1471—
LMArena Creative Writing1442—
LMArena Multi-Turn1467—

Frequently asked questions

Is GLM-5.3-Flash better than Kimi K2.7 Code?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.3 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Kimi K2.7 Code?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is GLM-5.3-Flash or Kimi K2.7 Code better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 42.9 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 262K.

How many benchmarks do GLM-5.3-Flash and Kimi K2.7 Code share?

14 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Kimi K2.7 Code has 19.

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