Noometry

Model comparison

GLM-4.5-Air vs Mistral 7B

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 23.0 on the Noometry Index. Mistral 7B costs 1.7× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.5-Air scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5-Air leads 36.2 to 8.1.
  • Mistral 7B is cheaper at $0.25 / $0.25 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 8K.

Side by side

GLM-4.5-AirMistral 7B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.923.0
Released2025-07-202023-09-27
WeightsOpenOpen
Context window131K8K
Max output98K8K
Input $ / M tokens$0.20$0.25
Output $ / M tokens$1.10$0.25
Results tracked2737

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Category by category

Coding GLM-4.5-Air leads

GLM-4.5-Air: 33.3 (#259), Mistral 7B: 26.4 (#326)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Coding13971082
GSO2.9%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
HumanEval+—36%
MBPP+—42.1%

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), Mistral 7B: 13.1 (#336)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Hard Prompts13791067
Kagi LLM Benchmark43%—
Chess Puzzles—0%
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
Epoch Capabilities Index—112.21
ForecastBench59.2—
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math GLM-4.5-Air leads

GLM-4.5-Air: 36.2 (#170), Mistral 7B: 8.1 (#325)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Math13961085
OTIS Mock AIME 2024-2025—0.3%
Omni-MATH39.1%—
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge GLM-4.5-Air leads

GLM-4.5-Air: 35.0 (#191), Mistral 7B: 7.4 (#311)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Expert13701036
GPQA Diamond—15.2%
Humanity's Last Exam8.1%—
MMLU-Pro76.2%—
Vectara Hallucination Rate9.3%—
GPQA (HELM)59.4%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multilingual GLM-4.5-Air leads

GLM-4.5-Air: 49.1 (#135), Mistral 7B: 25.8 (#283)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Non-English13661012
LMArena Chinese14261009
LMArena French13991037
LMArena German1377987
LMArena Japanese1348878
LMArena Russian13731018
LMArena Spanish13861026
LMArena Korean1308—

Instruction Following GLM-4.5-Air leads

GLM-4.5-Air: 69.6 (#171), Mistral 7B: 54.2 (#280)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Instruction Following13541060
IFEval81.2%—

Long Context GLM-4.5-Air leads

GLM-4.5-Air: 41.6 (#135), Mistral 7B: 32.2 (#271)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Longer Query13661060

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), Mistral 7B: 30.7 (#286)

BenchmarkGLM-4.5-AirMistral 7B
LMArena Text13841090
LMArena Creative Writing13431068
LMArena Multi-Turn13711062
WildBench78.9%—

Frequently asked questions

Is GLM-4.5-Air better than Mistral 7B?

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 23.0 on the Noometry Index. Mistral 7B costs 1.7× 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 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is GLM-4.5-Air or Mistral 7B better for coding?

GLM-4.5-Air scores higher on coding benchmarks: 33.3 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5-Air does, with 131K tokens against 8K.

How many benchmarks do GLM-4.5-Air and Mistral 7B share?

16 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral 7B has 37.

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