Noometry

Model comparison

GLM-4.5-Air vs Mistral Small 3.2

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 3.2× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Mistral Small 3.2 Mistral AI

31.2

Rank #280 Confirmed

Summary

  • They share 1 benchmark with published results for both. GLM-4.5-Air scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 45.0.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 131K.

Side by side

GLM-4.5-AirMistral Small 3.2
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.931.2
Released2025-07-202025-06-20
WeightsOpenOpen
Context window131K256K
Max output98K16K
Input $ / M tokens$0.20$0.0938
Output $ / M tokens$1.10$0.25
Results tracked276

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Category by category

Coding Not comparable

GLM-4.5-Air: 33.3 (#259), Mistral Small 3.2: —

BenchmarkGLM-4.5-AirMistral Small 3.2
GSO2.9%—
LMArena Coding1397—

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), Mistral Small 3.2: 18.1 (#287)

BenchmarkGLM-4.5-AirMistral Small 3.2
Kagi LLM Benchmark43%40.4%
Chess Puzzles—1%
LMArena Hard Prompts1379—
Epoch Capabilities Index—131.74
ForecastBench59.2—

Math GLM-4.5-Air leads

GLM-4.5-Air: 36.2 (#170), Mistral Small 3.2: 26.3 (#260)

BenchmarkGLM-4.5-AirMistral Small 3.2
OTIS Mock AIME 2024-2025—30.3%
Omni-MATH39.1%—
LMArena Math1396—

Knowledge GLM-4.5-Air leads

GLM-4.5-Air: 35.0 (#191), Mistral Small 3.2: 26.7 (#256)

BenchmarkGLM-4.5-AirMistral Small 3.2
GPQA Diamond—49.1%
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—
LMArena Expert1370—

Multilingual Not comparable

GLM-4.5-Air: 49.1 (#135), Mistral Small 3.2: —

BenchmarkGLM-4.5-AirMistral Small 3.2
LMArena Non-English1366—
LMArena Chinese1426—
LMArena French1399—
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—
LMArena Russian1373—
LMArena Spanish1386—

Instruction Following Not comparable

GLM-4.5-Air: 69.6 (#171), Mistral Small 3.2: —

BenchmarkGLM-4.5-AirMistral Small 3.2
IFEval81.2%—
LMArena Instruction Following1354—

Long Context Not comparable

GLM-4.5-Air: 41.6 (#135), Mistral Small 3.2: —

BenchmarkGLM-4.5-AirMistral Small 3.2
LMArena Longer Query1366—

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), Mistral Small 3.2: 45.0 (#224)

BenchmarkGLM-4.5-AirMistral Small 3.2
LMArena Text1384—
LMArena Creative Writing1343—
EQ-Bench Creative Writing—1255
WildBench78.9%—
LMArena Multi-Turn1371—

Frequently asked questions

Is GLM-4.5-Air better than Mistral Small 3.2?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 3.2× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 131K.

How many benchmarks do GLM-4.5-Air and Mistral Small 3.2 share?

1 benchmark has published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral Small 3.2 has 6.

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