Model comparison

Gemini 3.7 Flash vs GLM-5.3-Flash

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 6.3× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 37 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #14 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 37 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and GLM-5.3-Flash in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 48.0.
  • The biggest single-benchmark swing is ProofBench: 58% for Gemini 3.7 Flash and 21% for GLM-5.3-Flash.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 1M.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 Flash and GLM-5.3-Flash specifications
Gemini 3.7 FlashGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index59.851.8
Released2026-08-132026-08-20
WeightsProprietaryOpen
Context window1.05M1M
Max output66K131K
Input $ / M tokens$0.75$0.15
Output $ / M tokens$3.75$0.50
Results tracked4440

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 56.2 (#22), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
DeepSWE65.5%63.4%
FrontierCode43.6%31.8%
LMArena WebDev15921609
FrontierSWE20.3%18.1%
SciCode59.8%51.6%
LMArena Coding14971508
ALE-Bench904.3303.55
CursorBench—36.8%

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.1 (#19), GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
APEX-Agents67.8%52.8%
GDP.pdf23.8%14%
Remote Labor Index5%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.0 (#15), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
ARC-AGI-284.6%65.8%
ARC-AGI-195.5%91%
CritPt14.3%15.4%
Chess Puzzles47%14%
LMArena Hard Prompts14941491
Mystery Game Puzzles37%8%
Epoch Capabilities Index157.27151.88
NYT Connections (extended)94%—
DTBench96.8%—
LMCA50.4%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.6 (#23), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
FrontierMath (Tiers 1-3)71.6%55.8%
FrontierMath Tier 436.6%17.1%
OTIS Mock AIME 2024-202597.2%93.9%
ProofBench58%21%
LMArena Math15071500

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.7 (#5), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
GPQA Diamond94.8%90.2%
LMArena Expert15081513
SimpleQA Verified69.2%—

Multimodal GLM-5.3-Flash leads

Gemini 3.7 Flash: 37.3 (#73), GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
LMArena Vision13161296
Furniture Assembly26.7%—

Multilingual Gemini 3.7 Flash leads

Gemini 3.7 Flash: 57.6 (#7), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
LMArena Non-English14841462
LMArena Chinese15481527
LMArena French15051496
LMArena German14981470
LMArena Japanese15121429
LMArena Korean14831446
LMArena Russian15161469
LMArena Spanish15031471

Instruction Following Too close to call

Gemini 3.7 Flash: 77.7 (#15), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
LMArena Instruction Following14831478

Long Context Too close to call

Gemini 3.7 Flash: 45.7 (#30), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
LMArena Longer Query14921482

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.2 (#20), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashGLM-5.3-Flash
LMArena Text14861471
LMArena Creative Writing14901442
LMArena Multi-Turn14891467
EQ-Bench Creative Writing1723—

Frequently asked questions

Is Gemini 3.7 Flash better than GLM-5.3-Flash?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 6.3× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 Flash or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or GLM-5.3-Flash better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 53.1 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-5.3-Flash share?

37 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GLM-5.3-Flash has 40.

Related comparisons

Go deeper