Noometry

Model comparison

GLM-5.3-Flash vs MiniMax-M2.7

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.4 on the Noometry Index.

Last verified . 23 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

MiniMax-M2.7 MiniMax

37.4

Rank #188 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and MiniMax-M2.7 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.1 to 24.9.
  • The biggest single-benchmark swing is ProofBench: 21% for GLM-5.3-Flash and 3% for MiniMax-M2.7.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 205K.

Side by side

GLM-5.3-FlashMiniMax-M2.7
ProviderZ.ai (Zhipu)MiniMax
Noometry Index49.637.4
Released2026-08-202026-03-18
WeightsOpenOpen
Context window1M205K
Max output131K131K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.50$1.20
Results tracked3630

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), MiniMax-M2.7: 41.4 (#115)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena WebDev16141397
SciCode51.6%47%
LMArena Coding15061454
ALE-Bench303.55599.25
DeepSWE63.4%—
FrontierCode31.8%—
WeirdML—37%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), MiniMax-M2.7: 24.9 (#103)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
Terminal-Bench—45.1%
APEX-Agents52.8%—
ExploitBench—13.3%
GBAEval—0%
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), MiniMax-M2.7: 19.0 (#248)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
CritPt15.4%0.6%
LMArena Hard Prompts14901422
Epoch Capabilities Index151.9145.84
NYT Connections (extended)—24.7%
Chess Puzzles14%—
Thematic Generalization—39.3%
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), MiniMax-M2.7: 24.9 (#254)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
ProofBench21%3%
LMArena Math14991420
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), MiniMax-M2.7: 37.1 (#151)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Expert15121443
GPQA Diamond90.2%—
Vectara Hallucination Rate—12.9%

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), MiniMax-M2.7: —

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), MiniMax-M2.7: 50.5 (#120)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Non-English14621382
LMArena Chinese15291439
LMArena French14951422
LMArena German14571398
LMArena Japanese14201261
LMArena Korean14431313
LMArena Russian14721383
LMArena Spanish14711403

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), MiniMax-M2.7: 74.2 (#101)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Instruction Following14801404

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), MiniMax-M2.7: 43.3 (#94)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Longer Query14791419

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), MiniMax-M2.7: 59.1 (#107)

BenchmarkGLM-5.3-FlashMiniMax-M2.7
LMArena Text14711404
LMArena Creative Writing14401354
LMArena Multi-Turn14711413

Frequently asked questions

Is GLM-5.3-Flash better than MiniMax-M2.7?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.4 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or MiniMax-M2.7?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.

Is GLM-5.3-Flash or MiniMax-M2.7 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 41.4 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 205K.

How many benchmarks do GLM-5.3-Flash and MiniMax-M2.7 share?

23 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and MiniMax-M2.7 has 30.

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