Noometry

Model comparison

GLM-4.5-Air vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.9 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5-Air scores higher in 1 category and Mistral Large 4 in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Mistral Large 4 leads 48.6 to 33.3.
  • GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 131K.
  • GLM-4.5-Air has downloadable open weights; the other is API-only.

Side by side

GLM-4.5-AirMistral Large 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.943.1
Released2025-07-202026-10-06
WeightsOpenProprietary
Context window131K1.05M
Max output98K262K
Input $ / M tokens$0.20$0.68
Output $ / M tokens$1.10$2.09
Results tracked2715

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

Category by category

Coding Mistral Large 4 leads

GLM-4.5-Air: 33.3 (#259), Mistral Large 4: 48.6 (#57)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Coding13971475
LMArena WebDev—1541
GSO2.9%—

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), Mistral Large 4: 22.5 (#192)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Hard Prompts13791444
Kagi LLM Benchmark43%—
NYT Connections (extended)—27.4%
ForecastBench59.2—

Math Mistral Large 4 leads

GLM-4.5-Air: 36.2 (#170), Mistral Large 4: 40.4 (#91)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Math13961488
Omni-MATH39.1%—

Knowledge Mistral Large 4 leads

GLM-4.5-Air: 35.0 (#191), Mistral Large 4: 36.6 (#166)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Expert13701447
Humanity's Last Exam8.1%—
SimpleQA Verified—20%
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—

Multilingual Mistral Large 4 leads

GLM-4.5-Air: 49.1 (#135), Mistral Large 4: 52.6 (#82)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Non-English13661415
LMArena Chinese14261491
LMArena Russian13731414
LMArena French1399—
LMArena German1377—
LMArena Japanese1348—
LMArena Korean1308—
LMArena Spanish1386—

Instruction Following Mistral Large 4 leads

GLM-4.5-Air: 69.6 (#171), Mistral Large 4: 75.0 (#76)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Instruction Following13541424
IFEval81.2%—

Long Context Mistral Large 4 leads

GLM-4.5-Air: 41.6 (#135), Mistral Large 4: 43.6 (#89)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Longer Query13661429

Writing & Preference Mistral Large 4 leads

GLM-4.5-Air: 55.9 (#139), Mistral Large 4: 60.4 (#97)

BenchmarkGLM-4.5-AirMistral Large 4
LMArena Text13841427
LMArena Creative Writing13431361
LMArena Multi-Turn13711424
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 38.9 on the Noometry Index. GLM-4.5-Air costs 2.4× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5-Air or Mistral Large 4?

GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GLM-4.5-Air or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 131K.

How many benchmarks do GLM-4.5-Air and Mistral Large 4 share?

12 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral Large 4 has 15.

Related comparisons

Go deeper