Noometry

Model comparison

GLM-4.5-Air vs Mistral Small 3.1

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.4 on the Noometry Index.

Last verified . 22 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.7

Rank #169 Confirmed

Mistral Small 3.1 Mistral AI

31.4

Rank #263 Confirmed

Summary

  • They share 22 benchmarks with published results for both. GLM-4.5-Air scores higher in 7 categories and Mistral Small 3.1 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5-Air leads 33.8 to 13.7.
  • The biggest single-benchmark swing is GPQA (HELM): 59.4% for GLM-4.5-Air and 39.2% for Mistral Small 3.1.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 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.

Side by side

GLM-4.5-AirMistral Small 3.1
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.731.4
Released2025-07-202025-03-17
WeightsOpenOpen
Context window131K128K
Max output98K102K
Input $ / M tokens$0.20$0.35
Output $ / M tokens$1.10$0.56
Results tracked2728

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Category by category

Coding Mistral Small 3.1 leads

GLM-4.5-Air: 34.5 (#225), Mistral Small 3.1: 37.7 (#175)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Coding13971309
GSO2.9%—

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 23.3 (#166), Mistral Small 3.1: 18.9 (#249)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Hard Prompts13791278
Kagi LLM Benchmark43%—
Chess Puzzles—1%
Epoch Capabilities Index—127.48
ForecastBench59.2—

Math GLM-4.5-Air leads

GLM-4.5-Air: 33.8 (#166), Mistral Small 3.1: 13.7 (#295)

BenchmarkGLM-4.5-AirMistral Small 3.1
Omni-MATH39.1%24.8%
LMArena Math13961261
OTIS Mock AIME 2024-2025—3.9%

Knowledge GLM-4.5-Air leads

GLM-4.5-Air: 34.6 (#184), Mistral Small 3.1: 22.6 (#266)

BenchmarkGLM-4.5-AirMistral Small 3.1
MMLU-Pro76.2%61%
GPQA (HELM)59.4%39.2%
LMArena Expert13701258
GPQA Diamond—41.9%
Humanity's Last Exam8.1%—
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

GLM-4.5-Air: —, Mistral Small 3.1: 32.6 (#93)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Vision—1136

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.4 (#130), Mistral Small 3.1: 41.4 (#204)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Non-English13661255
LMArena Chinese14271254
LMArena French13991270
LMArena German13761266
LMArena Japanese13481210
LMArena Korean13061206
LMArena Russian13731263
LMArena Spanish13851283

Instruction Following GLM-4.5-Air leads

GLM-4.5-Air: 69.8 (#165), Mistral Small 3.1: 63.8 (#225)

BenchmarkGLM-4.5-AirMistral Small 3.1
IFEval81.2%75%
LMArena Instruction Following13531264

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#130), Mistral Small 3.1: 39.5 (#172)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Longer Query13671300

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 56.1 (#134), Mistral Small 3.1: 37.2 (#254)

BenchmarkGLM-4.5-AirMistral Small 3.1
LMArena Text13841278
LMArena Creative Writing13431253
WildBench78.9%78.8%
LMArena Multi-Turn13711270
EQ-Bench Creative Writing—761

Frequently asked questions

Is GLM-4.5-Air better than Mistral Small 3.1?

GLM-4.5-Air is the stronger model overall, scoring 38.7 to 31.4 on the Noometry Index.

Which is cheaper, GLM-4.5-Air or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 37.7 versus 34.5 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 Mistral Small 3.1 share?

22 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral Small 3.1 has 28.

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