Noometry

Model comparison

Gemini 3.8 Flash vs GLM-4.5V

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 39.2 on the Noometry Index. GLM-4.5V costs 1.7× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

Gemini 3.8 Flash Google

59.5

Rank #13 Confirmed

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and GLM-4.5V in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 64.7 to 26.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 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 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 FlashGLM-4.5V
ProviderGoogleZ.ai (Zhipu)
Noometry Index59.539.2
Released2026-09-022025-08-11
WeightsProprietaryOpen
Context window1.05M64K
Max output66K16K
Input $ / M tokens$0.75$0.60
Output $ / M tokens$3.75$1.80
Results tracked4615

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Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 56.4 (#17), GLM-4.5V: 38.9 (#152)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Coding15121347
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
LMArena WebDev1581—
FrontierSWE19.6%—
SciCode56.6%—
ALE-Bench1,270—

Agentic & Tool Use Not comparable

Gemini 3.8 Flash: 40.3 (#22), GLM-4.5V: —

BenchmarkGemini 3.8 FlashGLM-4.5V
APEX-Agents64.3%—
GDP.pdf23.4%—
Vending-Bench 25,094—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 64.7 (#13), GLM-4.5V: 26.5 (#118)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Hard Prompts15061335
Kagi LLM Benchmark—59.8%
NYT Connections (extended)97.4%—
CritPt18.3%—
Chess Puzzles61%—
Mystery Game Puzzles47%—
DTBench95.7%—
LMCA52.9%—
Surface Evolver Bench76.9%—
Epoch Capabilities Index157.13—

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.2 (#22), GLM-4.5V: 34.7 (#157)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Math15281353
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
OTIS Mock AIME 2024-202598.9%—
ProofBench48%—

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.9 (#2), GLM-4.5V: 36.8 (#155)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Expert15291353
GPQA Diamond95.4%—
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—

Multimodal Gemini 3.8 Flash leads

Gemini 3.8 Flash: 40.9 (#33), GLM-4.5V: 33.6 (#86)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Vision13121154
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 57.9 (#5), GLM-4.5V: 44.9 (#172)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Non-English14861304
LMArena Chinese15471338
LMArena Russian15071299
LMArena Spanish14921335
LMArena French1502—
LMArena German1470—
LMArena Japanese1505—
LMArena Korean1479—

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.2 (#11), GLM-4.5V: 69.4 (#170)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Instruction Following14891311

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.2 (#23), GLM-4.5V: 39.6 (#166)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Longer Query15061305

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.1 (#16), GLM-4.5V: 52.7 (#162)

BenchmarkGemini 3.8 FlashGLM-4.5V
LMArena Text14941333
LMArena Creative Writing14851295
LMArena Multi-Turn15031333
EQ-Bench Creative Writing1748—

Frequently asked questions

Is Gemini 3.8 Flash better than GLM-4.5V?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 39.2 on the Noometry Index. GLM-4.5V costs 1.7× 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-4.5V?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

Is Gemini 3.8 Flash or GLM-4.5V better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 64K.

How many benchmarks do Gemini 3.8 Flash and GLM-4.5V share?

14 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and GLM-4.5V has 15.

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