Model comparison

GLM-4.5-Air vs Mistral Nemo

GLM-4.5-Air is the stronger model overall, scoring 38.9 to 26.4 on the Noometry Index. Mistral Nemo costs 2.8× less per token, which makes it the better buy when GLM-4.5-Air's lead doesn't matter for your workload.

Last verified October 11, 2026. 0 shared benchmarks.

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Mistral Nemo

Mistral AI

26.4

Rank #337 Confirmed

Summary

The widest gap is in writing & preference, where GLM-4.5-Air leads 55.9 to 28.5.
Mistral Nemo is cheaper at $0.15 / $0.15 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-Air and Mistral Nemo specifications
	GLM-4.5-Air	Mistral Nemo
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	38.9	26.4
Released	2025-07-20	2024-07-01
Weights	Open	Open
Context window	131K	128K
Max output	98K	128K
Input $ / M tokens	$0.20	$0.15
Output $ / M tokens	$1.10	$0.15
Results tracked	27	10

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Category by category

Coding Not comparable

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

Coding benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
GSO	2.9%	—
LMArena Coding	1397	—

Agentic & Tool Use Not comparable

GLM-4.5-Air: —, Mistral Nemo: 23.5 (#125)

Agentic & Tool Use benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
Berkeley Function Calling Leaderboard	—	27.6%
BALROG	—	17.6%

Reasoning GLM-4.5-Air leads

GLM-4.5-Air: 24.1 (#166), Mistral Nemo: 20.7 (#232)

Reasoning benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
Kagi LLM Benchmark	43%	—
LMArena Hard Prompts	1379	—
DTBench	—	48.6%
Epoch Capabilities Index	—	118.68
ForecastBench	59.2	—
PIQA	—	83.5%

Math GLM-4.5-Air leads

GLM-4.5-Air: 36.2 (#170), Mistral Nemo: 25.5 (#268)

Math benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
Omni-MATH	39.1%	—
LMArena Math	1396	—
MATH Level 5	—	10.8%
GSM8K	—	84.2%

Knowledge GLM-4.5-Air leads

GLM-4.5-Air: 35.0 (#191), Mistral Nemo: 12.3 (#298)

Knowledge benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
GPQA Diamond	—	29.9%
Humanity's Last Exam	8.1%	—
MMLU-Pro	76.2%	—
Vectara Hallucination Rate	9.3%	—
GPQA (HELM)	59.4%	—
LMArena Expert	1370	—
BoolQ	—	82.5%

Multilingual Not comparable

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

Multilingual benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
LMArena Non-English	1366	—
LMArena Chinese	1426	—
LMArena French	1399	—
LMArena German	1377	—
LMArena Japanese	1348	—
LMArena Korean	1308	—
LMArena Russian	1373	—
LMArena Spanish	1386	—

Instruction Following Not comparable

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

Instruction Following benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
IFEval	81.2%	—
LMArena Instruction Following	1354	—

Long Context Not comparable

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

Long Context benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
LMArena Longer Query	1366	—

Writing & Preference GLM-4.5-Air leads

GLM-4.5-Air: 55.9 (#139), Mistral Nemo: 28.5 (#296)

Writing & Preference benchmarks
Benchmark	GLM-4.5-Air	Mistral Nemo
LMArena Text	1384	—
LMArena Creative Writing	1343	—
EQ-Bench Creative Writing	—	881
WildBench	78.9%	—
LMArena Multi-Turn	1371	—

Frequently asked questions

Is GLM-4.5-Air better than Mistral Nemo?

Which is cheaper, GLM-4.5-Air or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

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 Nemo share?

0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Mistral Nemo has 10.