Model comparison

Gemini 3.1 Pro Preview vs GLM-5.3-Flash

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 19× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Last verified . 35 shared benchmarks.

Gemini 3.1 Pro Preview Google

56.7

Rank #23 Confirmed

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Summary

  • They share 35 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 7 categories and GLM-5.3-Flash in 3 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 48.0.
  • The biggest single-benchmark swing is DeepSWE: 11.7% for Gemini 3.1 Pro Preview and 63.4% for GLM-5.3-Flash.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
  • Gemini 3.1 Pro Preview 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 3.1 Pro Preview and GLM-5.3-Flash specifications
Gemini 3.1 Pro PreviewGLM-5.3-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index56.751.8
Released2026-02-192026-08-20
WeightsProprietaryOpen
Context window1.05M1M
Max output66K131K
Input $ / M tokens$2$0.15
Output $ / M tokens$12$0.50
Results tracked7140

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Category by category

Coding GLM-5.3-Flash leads

Gemini 3.1 Pro Preview: 42.5 (#99), GLM-5.3-Flash: 53.1 (#31)

Coding benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
DeepSWE11.7%63.4%
LMArena WebDev14471609
SciCode58.9%51.6%
LMArena Coding14841508
ALE-Bench1,161303.55
SWE-bench Verified75.6%—
FrontierCode—31.8%
CursorBench—36.8%
FrontierSWE—18.1%
GSO22.6%—
WeirdML72.1%—
MirrorCode8.9%—
AlgoTune2.02—

Agentic & Tool Use Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 37.7 (#34), GLM-5.3-Flash: 34.2 (#47)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
APEX-Agents35.3%52.8%
GDP.pdf17%14%
Terminal-Bench80.2%—
τ²-bench Banking26%—
DeepResearch Bench47.8%—
PostTrainBench22%—
BALROG57%—
ExploitBench26.1%—
GBAEval0.8%—
LMArena Search1211—
METR Time Horizons77%—
Vending-Bench 23,774—

Reasoning Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.7 (#12), GLM-5.3-Flash: 48.0 (#42)

Reasoning benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
ARC-AGI-277.1%65.8%
ARC-AGI-198%91%
CritPt17.7%15.4%
Chess Puzzles55%14%
LMArena Hard Prompts14851491
Mystery Game Puzzles34%8%
Epoch Capabilities Index154.77151.88
SimpleBench79.6%—
NYT Connections (extended)97.4%—
EnigmaEval36.8%—
Thematic Generalization79.4%—
EBR-Bench14.3%—
DTBench97.1%—
LMCA53.8%—
Surface Evolver Bench—52.5%
Bench to the Future 3—0.15
ForecastBench59—

Math Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 62.1 (#34), GLM-5.3-Flash: 53.3 (#47)

Math benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
FrontierMath (Tiers 1-3)59.6%55.8%
FrontierMath Tier 426.8%17.1%
OTIS Mock AIME 2024-202595.6%93.9%
ProofBench26%21%
LMArena Math14851500
MathArena Final-Answer Competitions86.5%—
FrontierMath (Feb 2025 set)36.9%—
FrontierMath Tier 4 (v1)16.7%—

Knowledge Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 71.8 (#3), GLM-5.3-Flash: 58.4 (#36)

Knowledge benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
GPQA Diamond94.4%90.2%
LMArena Expert14851513
Humanity's Last Exam46.4%—
SimpleQA Verified73.5%—
Vectara Hallucination Rate10.4%—

Multimodal GLM-5.3-Flash leads

Gemini 3.1 Pro Preview: 37.9 (#69), GLM-5.3-Flash: 42.8 (#27)

Multimodal benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
LMArena Vision12961296
Blueprint-Bench 226.5%—
Furniture Assembly26.7%—
LMArena Document1444—

Multilingual Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 57.0 (#12), GLM-5.3-Flash: 56.0 (#25)

Multilingual benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
LMArena Non-English14771462
LMArena Chinese15291527
LMArena French14871496
LMArena German14911470
LMArena Japanese14931429
LMArena Korean14551446
LMArena Russian14981469
LMArena Spanish14791471

Instruction Following Too close to call

Gemini 3.1 Pro Preview: 77.0 (#32), GLM-5.3-Flash: 77.5 (#20)

Instruction Following benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
LMArena Instruction Following14661478

Long Context Gemini 3.1 Pro Preview leads

Gemini 3.1 Pro Preview: 47.4 (#18), GLM-5.3-Flash: 45.4 (#39)

Long Context benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
LMArena Longer Query14831482
CL-bench20.8%—
CL-bench Life16.9%—

Writing & Preference Too close to call

Gemini 3.1 Pro Preview: 66.1 (#37), GLM-5.3-Flash: 65.3 (#50)

Writing & Preference benchmarks
BenchmarkGemini 3.1 Pro PreviewGLM-5.3-Flash
LMArena Text14811471
LMArena Creative Writing14821442
LMArena Multi-Turn14881467
EQ-Bench Creative Writing1491—
EQ-Bench 41142—

Frequently asked questions

Is Gemini 3.1 Pro Preview better than GLM-5.3-Flash?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 51.8 on the Noometry Index. GLM-5.3-Flash costs 19× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.

Is Gemini 3.1 Pro Preview or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 42.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 1M.

How many benchmarks do Gemini 3.1 Pro Preview and GLM-5.3-Flash share?

35 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GLM-5.3-Flash has 40.

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