Noometry

Model comparison

GLM-4.7-Flash vs MiniMax-M2.5

GLM-4.7-Flash and MiniMax-M2.5 score almost the same on the Noometry Index (38.4 vs 38.1), so choose on price, context window or the category you care about most.

Last verified . 18 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 Confirmed

MiniMax-M2.5 MiniMax

38.1

Rank #181 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 3 categories and MiniMax-M2.5 in 5 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 34.4 to 25.8.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
  • MiniMax-M2.5 accepts more context: 205K tokens versus 200K.

Side by side

GLM-4.7-FlashMiniMax-M2.5
ProviderZ.ai (Zhipu)MiniMax
Noometry Index38.438.1
Released2026-01-192026-02-12
WeightsOpenOpen
Context window200K205K
Max output131K131K
Input $ / M tokens$0.06$0.30
Output $ / M tokens$0.40$1.20
Results tracked2133

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Category by category

Coding MiniMax-M2.5 leads

GLM-4.7-Flash: 40.0 (#133), MiniMax-M2.5: 47.9 (#53)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Coding13831380
SWE-bench Verified (bash only)—75.8%
LMArena WebDev—1386
SWE-bench Multilingual—68.3%
ALE-Bench—618.17

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, MiniMax-M2.5: 30.2 (#70)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
Terminal-Bench—42.7%
Vending-Bench 2—-23.16

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.2 (#224), MiniMax-M2.5: 17.6 (#281)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Hard Prompts13561372
ARC-AGI-2—4.9%
Kagi LLM Benchmark—55.2%
NYT Connections (extended)—16.8%
ARC-AGI-1—63.7%
Chess Puzzles0%—
Epoch Capabilities Index—146.68

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 34.4 (#159), MiniMax-M2.5: 25.8 (#242)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Math13541378
OTIS Mock AIME 2024-202558.3%—
ProofBench—4%

Knowledge MiniMax-M2.5 leads

GLM-4.7-Flash: 35.4 (#177), MiniMax-M2.5: 38.6 (#132)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
Vectara Hallucination Rate9.3%9.1%
LMArena Expert13571378
GPQA Diamond60.5%—

Multilingual Too close to call

GLM-4.7-Flash: 46.8 (#152), MiniMax-M2.5: 47.3 (#147)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Non-English13311338
LMArena Chinese14031392
LMArena French13321363
LMArena German13361361
LMArena Korean12841232
LMArena Russian13331359
LMArena Spanish13511354
LMArena Japanese—1169

Instruction Following MiniMax-M2.5 leads

GLM-4.7-Flash: 70.3 (#162), MiniMax-M2.5: 71.7 (#143)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Instruction Following13271353

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#143), MiniMax-M2.5: 37.4 (#211)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Longer Query13451367
CL-bench—11.4%
CL-bench Life—6.3%

Writing & Preference MiniMax-M2.5 leads

GLM-4.7-Flash: 47.7 (#206), MiniMax-M2.5: 54.1 (#149)

BenchmarkGLM-4.7-FlashMiniMax-M2.5
LMArena Text13511359
LMArena Creative Writing12971331
EQ-Bench Creative Writing11251361
LMArena Multi-Turn13421364

Frequently asked questions

Is GLM-4.7-Flash better than MiniMax-M2.5?

GLM-4.7-Flash and MiniMax-M2.5 score almost the same on the Noometry Index (38.4 vs 38.1), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.7-Flash or MiniMax-M2.5?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiniMax-M2.5 lists at $0.30 and $1.20.

Is GLM-4.7-Flash or MiniMax-M2.5 better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 47.9 versus 40.0 in the Noometry coding category.

Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 200K.

How many benchmarks do GLM-4.7-Flash and MiniMax-M2.5 share?

18 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiniMax-M2.5 has 33.

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