Model comparison

GLM-4.5 vs Mistral Medium 3.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 40.2 on the Noometry Index.

Last verified October 10, 2026. 17 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Mistral Medium 3.5

Mistral AI

40.2

Rank #152 Confirmed

Summary

They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 3 categories and Mistral Medium 3.5 in 5 categories; 4 gaps are clear of the uncertainty.
The widest gap is in reasoning, where GLM-4.5 leads 28.6 to 17.3.
The biggest single-benchmark swing is Kagi LLM Benchmark: 57.9% for GLM-4.5 and 41.4% for Mistral Medium 3.5.
GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.

Side by side

GLM-4.5 and Mistral Medium 3.5 specifications
	GLM-4.5	Mistral Medium 3.5
Provider	Z.ai (Zhipu)	Mistral AI
Noometry Index	42.0	40.2
Released	2025-07-27	—
Weights	Open	Open
Context window	131K	262K
Max output	98K	210K
Input $ / M tokens	$0.60	$1.50
Output $ / M tokens	$2.20	$7.50
Results tracked	27	22

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Mistral Medium 3.5: 36.0 (#213)

Coding benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Coding	1434	1461
SWE-bench Verified (bash only)	54.2%	—
LMArena WebDev	—	1264
WeirdML	40.6%	—
ALE-Bench	344.82	—
AlgoTune	1.52	—

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Mistral Medium 3.5: 17.3 (#295)

Reasoning benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
Kagi LLM Benchmark	57.9%	41.4%
LMArena Hard Prompts	1429	1436
NYT Connections (extended)	—	12.9%
Epoch Capabilities Index	—	141.35

Math Too close to call

GLM-4.5: 39.0 (#116), Mistral Medium 3.5: 39.1 (#113)

Math benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Math	1427	1431

Knowledge Mistral Medium 3.5 leads

GLM-4.5: 35.9 (#179), Mistral Medium 3.5: 40.0 (#126)

Knowledge benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Expert	1433	1432
Humanity's Last Exam	8.3%	—
Confabulations	11.3%	—

Multimodal Not comparable

GLM-4.5: —, Mistral Medium 3.5: 38.3 (#65)

Multimodal benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Vision	—	1223

Multilingual Too close to call

GLM-4.5: 52.8 (#77), Mistral Medium 3.5: 51.9 (#100)

Multilingual benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Non-English	1417	1404
LMArena Chinese	1465	1442
LMArena French	1418	1448
LMArena German	1407	1451
LMArena Korean	1380	1385
LMArena Russian	1414	1395
LMArena Spanish	1454	1409
LMArena Japanese	1415	—

Instruction Following Too close to call

GLM-4.5: 74.1 (#104), Mistral Medium 3.5: 74.6 (#90)

Instruction Following benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Instruction Following	1404	1415

Long Context Mistral Medium 3.5 leads

GLM-4.5: 38.2 (#201), Mistral Medium 3.5: 43.2 (#103)

Long Context benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Longer Query	1412	1415
Fiction.LiveBench	58.3%	—

Writing & Preference Too close to call

GLM-4.5: 57.5 (#127), Mistral Medium 3.5: 58.5 (#117)

Writing & Preference benchmarks
Benchmark	GLM-4.5	Mistral Medium 3.5
LMArena Text	1430	1421
LMArena Creative Writing	1395	1374
LMArena Multi-Turn	1415	1423
Short-Story Creative Writing	73.4%	—
EQ-Bench Creative Writing	1343	—
EQ-Bench 4	—	993

Frequently asked questions

Is GLM-4.5 better than Mistral Medium 3.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 40.2 on the Noometry Index.

Which is cheaper, GLM-4.5 or Mistral Medium 3.5?

GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is GLM-4.5 or Mistral Medium 3.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Medium 3.5 does, with 262K tokens against 131K.

How many benchmarks do GLM-4.5 and Mistral Medium 3.5 share?

17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Mistral Medium 3.5 has 22.