Noometry

Model comparison

Gemini 3.8 Flash vs GLM-4.6V

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 41.3 on the Noometry Index. GLM-4.6V costs 3.3× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 8 categories and GLM-4.6V 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 27.6.
  • GLM-4.6V is cheaper at $0.30 / $0.90 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 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 FlashGLM-4.6V
ProviderGoogleZ.ai (Zhipu)
Noometry Index61.841.3
Released2026-09-022025-12-08
WeightsProprietaryOpen
Context window1.05M128K
Max output66K33K
Input $ / M tokens$0.75$0.30
Output $ / M tokens$3.75$0.90
Results tracked5012

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Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 59.2 (#15), GLM-4.6V: 40.9 (#128)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Coding15101390
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-4.6V: —

BenchmarkGemini 3.8 FlashGLM-4.6V
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-4.6V: 27.6 (#115)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Hard Prompts15081368
ARC-AGI-289.2%—
NYT Connections (extended)97.4%—
ARC-AGI-198.5%—
CritPt18.3%—
Chess Puzzles61%—
Mystery Game Puzzles47%—
DTBench95.7%—
LMCA52.9%—
Surface Evolver Bench76.9%—
Epoch Capabilities Index156.71—

Math Not comparable

Gemini 3.8 Flash: 65.3 (#28), GLM-4.6V: —

BenchmarkGemini 3.8 FlashGLM-4.6V
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
OTIS Mock AIME 2024-202598.9%—
ProofBench48%—
LMArena Math1528—

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), GLM-4.6V: 38.0 (#149)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Expert15241371
GPQA Diamond95.4%—
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—

Multimodal Gemini 3.8 Flash leads

Gemini 3.8 Flash: 40.7 (#45), GLM-4.6V: 34.8 (#90)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Vision13141164
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 58.0 (#5), GLM-4.6V: 48.6 (#141)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Non-English14911359
LMArena Chinese15541425
LMArena Russian15151340
LMArena French1498—
LMArena German1493—
LMArena Japanese1502—
LMArena Korean1459—
LMArena Spanish1485—

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), GLM-4.6V: 71.4 (#151)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Instruction Following14901352

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), GLM-4.6V: 41.3 (#143)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Longer Query15081358

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), GLM-4.6V: 56.6 (#137)

BenchmarkGemini 3.8 FlashGLM-4.6V
LMArena Text14991377
LMArena Creative Writing14921347
LMArena Multi-Turn15011360
EQ-Bench Creative Writing1748—

Frequently asked questions

Is Gemini 3.8 Flash better than GLM-4.6V?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 41.3 on the Noometry Index. GLM-4.6V costs 3.3× 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-4.6V?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

Is Gemini 3.8 Flash or GLM-4.6V better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 128K.

How many benchmarks do Gemini 3.8 Flash and GLM-4.6V share?

12 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GLM-4.6V has 12.

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