Model comparison

GLM-4.5-Air vs Mercury 2

GLM-4.5-Air and Mercury 2 score almost the same on the Noometry Index (38.7 vs 38.8), 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)

38.7

Rank #169 Confirmed

Mercury 2 Inception

38.8

Rank #167 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5-Air scores higher in 5 categories and Mercury 2 in 2 categories; 5 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 Index38.738.8
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

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-4.5-Air leads

GLM-4.5-Air: 34.5 (#225), Mercury 2: 33.2 (#250)

Coding benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Coding13971391
LMArena WebDev—1170
SciCode—38.7%
GSO2.9%—
WeirdML—43.2%
ALE-Bench—785.58

Reasoning Too close to call

GLM-4.5-Air: 23.3 (#166), Mercury 2: 23.0 (#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: 33.8 (#166), Mercury 2: —

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

Knowledge Mercury 2 leads

GLM-4.5-Air: 34.6 (#184), Mercury 2: 35.6 (#170)

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: 49.4 (#130), Mercury 2: 46.8 (#153)

Multilingual benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Non-English13661331
LMArena Chinese14271416
LMArena Russian13731303
LMArena French1399—
LMArena German1376—
LMArena Japanese1348—
LMArena Korean1306—
LMArena Spanish1385—

Instruction Following Too close to call

GLM-4.5-Air: 69.8 (#165), Mercury 2: 70.4 (#161)

Instruction Following benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Instruction Following13531328
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#130), Mercury 2: 40.4 (#149)

Long Context benchmarks
BenchmarkGLM-4.5-AirMercury 2
LMArena Longer Query13671329

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 56.1 (#134), Mercury 2: 54.0 (#151)

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 (38.7 vs 38.8), 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?

GLM-4.5-Air scores higher on coding benchmarks: 34.5 versus 33.2 in the Noometry coding category.

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.

Related comparisons

Go deeper