Noometry

Model comparison

Gemini 3.7 Flash vs GLM-5.2

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 51.1 on the Noometry Index.

Last verified . 39 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GLM-5.2 Z.ai (Zhipu)

51.1

Rank #44 Confirmed

Summary

  • They share 39 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and GLM-5.2 in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 42.3.
  • The biggest single-benchmark swing is ARC-AGI-2: 84.6% for Gemini 3.7 Flash and 22.8% for GLM-5.2.
  • Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $1.40 / $4.40 for GLM-5.2.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 1M.
  • GLM-5.2 has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 FlashGLM-5.2
ProviderGoogleZ.ai (Zhipu)
Noometry Index59.851.1
Released2026-08-132026-06-13
WeightsProprietaryOpen
Context window1.05M1M
Max output66K131K
Input $ / M tokens$0.75$1.40
Output $ / M tokens$3.75$4.40
Results tracked4451

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), GLM-5.2: 51.3 (#41)

BenchmarkGemini 3.7 FlashGLM-5.2
DeepSWE65.5%43.8%
FrontierCode43.6%24.5%
LMArena WebDev15921603
SciCode59.8%50.5%
LMArena Coding14971485
ALE-Bench904.31,047
SWE-bench Verified—78.7%
FrontierSWE20.3%—
WeirdML—70.1%

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GLM-5.2: 32.4 (#63)

BenchmarkGemini 3.7 FlashGLM-5.2
APEX-Agents67.8%45.2%
Remote Labor Index5%—
τ²-bench Banking—37.1%
PostTrainBench—31.7%
GBAEval—0%
GDP.pdf23.8%—
Vending-Bench 2—8,314

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GLM-5.2: 42.3 (#52)

BenchmarkGemini 3.7 FlashGLM-5.2
ARC-AGI-284.6%22.8%
NYT Connections (extended)94%74.3%
ARC-AGI-195.5%77%
CritPt14.3%20.9%
Chess Puzzles47%21%
LMArena Hard Prompts14941480
Mystery Game Puzzles37%19%
DTBench96.8%93.6%
LMCA50.4%45.8%
Epoch Capabilities Index157.27151.78
SimpleBench—58.8%
Kagi LLM Benchmark—62.6%
EBR-Bench—9.5%
Surface Evolver Bench—55.6%

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), GLM-5.2: 55.7 (#43)

BenchmarkGemini 3.7 FlashGLM-5.2
FrontierMath (Tiers 1-3)71.6%59.2%
FrontierMath Tier 436.6%29.3%
OTIS Mock AIME 2024-202597.2%86.4%
ProofBench58%35%
LMArena Math15071482
MathArena Final-Answer Competitions—67.6%

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GLM-5.2: 57.1 (#40)

BenchmarkGemini 3.7 FlashGLM-5.2
GPQA Diamond94.8%91.9%
SimpleQA Verified69.2%34.2%
LMArena Expert15081486

Multimodal Not comparable

Gemini 3.7 Flash: 37.3 (#73), GLM-5.2: —

BenchmarkGemini 3.7 FlashGLM-5.2
LMArena Vision1316—
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GLM-5.2: 55.8 (#26)

BenchmarkGemini 3.7 FlashGLM-5.2
LMArena Non-English14841459
LMArena Chinese15481519
LMArena French15051479
LMArena German14981468
LMArena Japanese15121451
LMArena Korean14831445
LMArena Russian15161466
LMArena Spanish15031477

Instruction Following Too close to call

Gemini 3.7 Flash: 77.7 (#15), GLM-5.2: 76.9 (#34)

BenchmarkGemini 3.7 FlashGLM-5.2
LMArena Instruction Following14831465

Long Context Too close to call

Gemini 3.7 Flash: 45.7 (#30), GLM-5.2: 45.3 (#43)

BenchmarkGemini 3.7 FlashGLM-5.2
LMArena Longer Query14921479

Writing & Preference Too close to call

Gemini 3.7 Flash: 71.2 (#20), GLM-5.2: 70.4 (#21)

BenchmarkGemini 3.7 FlashGLM-5.2
LMArena Text14861470
LMArena Creative Writing14901462
EQ-Bench Creative Writing17231757
LMArena Multi-Turn14891469
EQ-Bench 4—1222

Frequently asked questions

Is Gemini 3.7 Flash better than GLM-5.2?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 51.1 on the Noometry Index.

Which is cheaper, Gemini 3.7 Flash or GLM-5.2?

Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GLM-5.2 lists at $1.40 and $4.40.

Is Gemini 3.7 Flash or GLM-5.2 better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 51.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 1M.

How many benchmarks do Gemini 3.7 Flash and GLM-5.2 share?

39 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GLM-5.2 has 51.

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