Model comparison

Gemini 2.5 Pro vs GLM-4.5-Air

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 8.1× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and GLM-4.5-Air in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 35.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 43% for GLM-4.5-Air.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 131K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Pro and GLM-4.5-Air specifications
Gemini 2.5 ProGLM-4.5-Air
ProviderGoogleZ.ai (Zhipu)
Noometry Index45.038.9
Released2025-03-252025-07-20
WeightsProprietaryOpen
Context window1.05M131K
Max output66K98K
Input $ / M tokens$1.25$0.20
Output $ / M tokens$10$1.10
Results tracked7827

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), GLM-4.5-Air: 33.3 (#259)

Coding benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
GSO3.9%2.9%
LMArena Coding14521397
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
SciCode42.8%—
WeirdML54%—
LiveBench Coding85.9%—
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Not comparable

Gemini 2.5 Pro: 29.2 (#88), GLM-4.5-Air: —

Agentic & Tool Use benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
Terminal-Bench32.6%—
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), GLM-4.5-Air: 24.1 (#166)

Reasoning benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
Kagi LLM Benchmark70.3%43%
LMArena Hard Prompts14551379
ForecastBench61.359.2
ARC-AGI-24.9%—
SimpleBench62.4%—
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Epoch Capabilities Index145.32—
LiveBench82.3%—

Math GLM-4.5-Air leads

Gemini 2.5 Pro: 32.5 (#213), GLM-4.5-Air: 36.2 (#170)

Math benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
Omni-MATH41.6%39.1%
LMArena Math14501396
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), GLM-4.5-Air: 35.0 (#191)

Knowledge benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
Humanity's Last Exam21.6%8.1%
MMLU-Pro86.3%76.2%
Vectara Hallucination Rate7%9.3%
GPQA (HELM)74.9%59.4%
LMArena Expert14521370
GPQA Diamond85.3%—
Confabulations10.6%—

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), GLM-4.5-Air: —

Multimodal benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), GLM-4.5-Air: 49.1 (#135)

Multilingual benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
LMArena Non-English14511366
LMArena Chinese15071426
LMArena French14721399
LMArena German14871377
LMArena Japanese14611348
LMArena Korean14341308
LMArena Russian14611373
LMArena Spanish14731386

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), GLM-4.5-Air: 69.6 (#171)

Instruction Following benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
IFEval84%81.2%
LMArena Instruction Following14371354
LiveBench Instruction Following80.6%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), GLM-4.5-Air: 41.6 (#135)

Long Context benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
LMArena Longer Query14491366
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), GLM-4.5-Air: 55.9 (#139)

Writing & Preference benchmarks
BenchmarkGemini 2.5 ProGLM-4.5-Air
LMArena Text14581384
LMArena Creative Writing14541343
WildBench85.7%78.9%
LMArena Multi-Turn14531371
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than GLM-4.5-Air?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.9 on the Noometry Index. GLM-4.5-Air costs 8.1× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 Pro or GLM-4.5-Air?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or GLM-4.5-Air better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Pro and GLM-4.5-Air share?

27 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GLM-4.5-Air has 27.

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