Model comparison

Gemini 3.8 Flash vs GLM-4.7

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 42.0 on the Noometry Index. GLM-4.7 costs 1.5× less per token, which makes it the better buy when Gemini 3.8 Flash's lead doesn't matter for your workload.

Last verified . 29 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Summary

  • They share 29 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and GLM-4.7 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 24.3.
  • The biggest single-benchmark swing is Chess Puzzles: 61% for Gemini 3.8 Flash and 6% for GLM-4.7.
  • GLM-4.7 is cheaper at $0.60 / $2.20 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 205K.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 Flash and GLM-4.7 specifications
Gemini 3.8 FlashGLM-4.7
ProviderGoogleZ.ai (Zhipu)
Noometry Index61.842.0
Released2026-09-022025-12-22
WeightsProprietaryOpen
Context window1.05M205K
Max output66K131K
Input $ / M tokens$0.75$0.60
Output $ / M tokens$3.75$2.20
Results tracked5036

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: 44.0 (#79)

Coding benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
LMArena WebDev15841435
SciCode56.6%45.1%
LMArena Coding15101454
ALE-Bench1,270399.48
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
FrontierSWE19.6%—
WeirdML84.8%—

Agentic & Tool Use Gemini 3.8 Flash leads

Gemini 3.8 Flash: 41.8 (#21), GLM-4.7: 26.5 (#103)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
Vending-Bench 25,0942,377
Terminal-Bench—33.4%
APEX-Agents64.3%—
Remote Labor Index5.8%—
GDP.pdf23.4%—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 76.9 (#5), GLM-4.7: 24.3 (#164)

Reasoning benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
CritPt18.3%1.7%
Chess Puzzles61%6%
LMArena Hard Prompts15081443
Epoch Capabilities Index156.71143.51
ARC-AGI-289.2%—
SimpleBench—47.7%
NYT Connections (extended)97.4%—
ARC-AGI-198.5%—
Mystery Game Puzzles47%—
DTBench95.7%—
LMCA52.9%—
Surface Evolver Bench76.9%—

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.3 (#28), GLM-4.7: 38.6 (#135)

Math benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
OTIS Mock AIME 2024-202598.9%83.3%
ProofBench48%6%
LMArena Math15281423
FrontierMath (Tiers 1-3)68.4%—
FrontierMath Tier 422%—
FrontierMath (Feb 2025 set)—2.4%
FrontierMath Tier 4 (v1)—0%

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), GLM-4.7: 47.0 (#80)

Knowledge benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
GPQA Diamond95.4%83.3%
SimpleQA Verified69.7%32.2%
LMArena Expert15241424
Humanity's Last Exam44.5%—
Vectara Hallucination Rate—11.7%

Multimodal Not comparable

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

Multimodal benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
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: 52.8 (#79)

Multilingual benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
LMArena Non-English14911417
LMArena Chinese15541495
LMArena French14981432
LMArena German14931424
LMArena Japanese15021439
LMArena Korean14591399
LMArena Russian15151423
LMArena Spanish14851434

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), GLM-4.7: 74.4 (#95)

Instruction Following benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
LMArena Instruction Following14901411

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), GLM-4.7: 42.8 (#116)

Long Context benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
LMArena Longer Query15081432
CL-bench—15.9%
CL-bench Life—10.9%

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), GLM-4.7: 60.9 (#93)

Writing & Preference benchmarks
BenchmarkGemini 3.8 FlashGLM-4.7
LMArena Text14991435
LMArena Creative Writing14921401
EQ-Bench Creative Writing17481413
LMArena Multi-Turn15011446

Frequently asked questions

Is Gemini 3.8 Flash better than GLM-4.7?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 42.0 on the Noometry Index. GLM-4.7 costs 1.5× 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?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

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

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 44.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 205K.

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

29 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GLM-4.7 has 36.

Related comparisons

Go deeper