Model comparison

Gemini 3.8 Flash vs GLM-4.7-Flash

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 10× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and GLM-4.7-Flash in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 20.9.
  • The biggest single-benchmark swing is Chess Puzzles: 61% for Gemini 3.8 Flash and 0% for GLM-4.7-Flash.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
  • Gemini 3.8 Flash accepts more context: 1.05M tokens versus 200K.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 Flash and GLM-4.7-Flash specifications
Gemini 3.8 FlashGLM-4.7-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index61.838.8
Released2026-09-022026-01-19
WeightsProprietaryOpen
Context window1.05M200K
Max output66K131K
Input $ / M tokens$0.75$0.06
Output $ / M tokens$3.75$0.40
Results tracked5021

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

Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 59.2 (#15), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Coding15101383
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
LMArena WebDev1584—
FrontierSWE19.6%—
SciCode56.6%—
WeirdML84.8%—
ALE-Bench1,270—

Agentic & Tool Use Not comparable

Gemini 3.8 Flash: 41.8 (#21), GLM-4.7-Flash: —

Agentic & Tool Use benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
APEX-Agents64.3%—
Remote Labor Index5.8%—
GDP.pdf23.4%—
Vending-Bench 25,094—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 76.9 (#5), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
Chess Puzzles61%0%
LMArena Hard Prompts15081356
ARC-AGI-289.2%—
NYT Connections (extended)97.4%—
ARC-AGI-198.5%—
CritPt18.3%—
Mystery Game Puzzles47%—
DTBench95.7%—
LMCA52.9%—
Surface Evolver Bench76.9%—
Epoch Capabilities Index156.71—

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.3 (#28), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
OTIS Mock AIME 2024-202598.9%58.3%
LMArena Math15281355
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
ProofBench48%—

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
GPQA Diamond95.4%60.5%
LMArena Expert15241357
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—
Vectara Hallucination Rate—9.3%

Multimodal Not comparable

Gemini 3.8 Flash: 40.7 (#45), GLM-4.7-Flash: —

Multimodal benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Vision1314—
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 58.0 (#5), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Non-English14911330
LMArena Chinese15541403
LMArena French14981332
LMArena German14931337
LMArena Korean14591283
LMArena Russian15151332
LMArena Spanish14851350
LMArena Japanese1502—

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Instruction Following14901327

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Longer Query15081345

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7-Flash
LMArena Text14991351
LMArena Creative Writing14921297
EQ-Bench Creative Writing17481125
LMArena Multi-Turn15011342

Frequently asked questions

Is Gemini 3.8 Flash better than GLM-4.7-Flash?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 10× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.8 Flash or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

Is Gemini 3.8 Flash or GLM-4.7-Flash better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 200K.

How many benchmarks do Gemini 3.8 Flash and GLM-4.7-Flash share?

20 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GLM-4.7-Flash has 21.

Related comparisons

Go deeper