Noometry

Model comparison

GLM-5.3-Flash vs MiniMax-M2

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 36.9 on the Noometry Index.

Last verified . 16 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

MiniMax-M2 MiniMax

36.9

Rank #201 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and MiniMax-M2 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 36.3.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 205K.

Side by side

GLM-5.3-FlashMiniMax-M2
ProviderZ.ai (Zhipu)MiniMax
Noometry Index49.636.9
Released2026-08-202025-10-27
WeightsOpenOpen
Context window1M205K
Max output131K131K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.50$1.20
Results tracked3621

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), MiniMax-M2: 39.1 (#151)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena WebDev16141297
LMArena Coding15061370
DeepSWE63.4%—
FrontierCode31.8%—
SWE-bench Verified (bash only)—61%
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.3 (#41), MiniMax-M2: 24.9 (#102)

BenchmarkGLM-5.3-FlashMiniMax-M2
Terminal-Bench—30%
APEX-Agents52.8%—
GDP.pdf14%—
Vending-Bench 2—160.6

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), MiniMax-M2: 18.6 (#256)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Hard Prompts14901357
Kagi LLM Benchmark—57.8%
NYT Connections (extended)—14.8%
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.9—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), MiniMax-M2: 34.6 (#158)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Math14991350
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), MiniMax-M2: 36.3 (#160)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Expert15121336
GPQA Diamond90.2%—

Multimodal Not comparable

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

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), MiniMax-M2: 45.6 (#165)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Non-English14621314
LMArena Chinese15291367
LMArena French14951336
LMArena German14571366
LMArena Russian14721332
LMArena Spanish14711326
LMArena Japanese1420—
LMArena Korean1443—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), MiniMax-M2: 70.4 (#160)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Instruction Following14801329

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), MiniMax-M2: 40.5 (#148)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Longer Query14791332

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), MiniMax-M2: 53.3 (#157)

BenchmarkGLM-5.3-FlashMiniMax-M2
LMArena Text14711340
LMArena Creative Writing14401288
LMArena Multi-Turn14711362

Frequently asked questions

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

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 36.9 on the Noometry Index.

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

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

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

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 39.1 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 share?

16 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and MiniMax-M2 has 21.

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