Model comparison

GLM-4.5-Air vs Mercury 2

GLM-4.5-Air and Mercury 2 score almost the same on the Noometry Index (38.9 vs 39.1), so choose on price, context window or the category you care about most.

Last verified . 12 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Mercury 2 Inception

39.1

Rank #175 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5-Air scores higher in 4 categories and Mercury 2 in 3 categories; 4 gaps are clear of the uncertainty.
  • Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • GLM-4.5-Air accepts more context: 131K tokens versus 128K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-Air and Mercury 2 specifications
GLM-4.5-AirMercury 2
ProviderZ.ai (Zhipu)Inception
Noometry Index38.939.1
Released2025-07-202026-02-20
WeightsOpenProprietary
Context window131K128K
Max output98K50K
Input $ / M tokens$0.20$0.25
Output $ / M tokens$1.10$0.75
Results tracked2717

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Category by category

Coding Too close to call

GLM-4.5-Air: 33.3 (#259), Mercury 2: 33.5 (#255)

Coding benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Coding13971391
LMArena WebDev—1171
SciCode—38.7%
GSO2.9%—
WeirdML—43.2%
ALE-Bench—785.58

Reasoning Too close to call

GLM-4.5-Air: 24.1 (#166), Mercury 2: 23.8 (#170)

Reasoning benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Hard Prompts13791362
Kagi LLM Benchmark43%—
CritPt—0.8%
ForecastBench59.2—

Math Not comparable

GLM-4.5-Air: 36.2 (#170), Mercury 2: —

Math benchmarks
BenchmarkGLM-4.5-AirMercury 2
Omni-MATH39.1%—
LMArena Math1396—

Knowledge Mercury 2 leads

GLM-4.5-Air: 35.0 (#191), Mercury 2: 36.2 (#172)

Knowledge benchmarks
BenchmarkGLM-4.5-AirMercury 2
Vectara Hallucination Rate9.3%12.3%
LMArena Expert13701358
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
GPQA (HELM)59.4%—

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.1 (#135), Mercury 2: 46.6 (#157)

Multilingual benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Non-English13661331
LMArena Chinese14261417
LMArena Russian13731304
LMArena French1399—
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—
LMArena Spanish1386—

Instruction Following Too close to call

GLM-4.5-Air: 69.6 (#171), Mercury 2: 70.2 (#165)

Instruction Following benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Instruction Following13541329
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#135), Mercury 2: 40.5 (#154)

Long Context benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Longer Query13661330

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), Mercury 2: 53.8 (#155)

Writing & Preference benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Text13841355
LMArena Creative Writing13431289
LMArena Multi-Turn13711358
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than Mercury 2?

GLM-4.5-Air and Mercury 2 score almost the same on the Noometry Index (38.9 vs 39.1), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.5-Air or Mercury 2?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or Mercury 2 better for coding?

They score almost the same on coding (33.3 vs 33.5); test both on your own repository before choosing.

Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 128K.

How many benchmarks do GLM-4.5-Air and Mercury 2 share?

12 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mercury 2 has 17.

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