Noometry

Model comparison

GLM-4.5 vs Mistral Small 3.1

GLM-4.5 is the stronger model overall, scoring 42.0 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.5× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified . 18 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.5 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 leads 39.0 to 14.7.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • GLM-4.5 accepts more context: 131K tokens versus 128K.

Side by side

GLM-4.5Mistral Small 3.1
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index42.031.7
Released2025-07-272025-03-17
WeightsOpenOpen
Context window131K128K
Max output98K102K
Input $ / M tokens$0.60$0.35
Output $ / M tokens$2.20$0.56
Results tracked2728

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

Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Mistral Small 3.1: 38.3 (#179)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Coding14341309
SWE-bench Verified (bash only)54.2%—
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Mistral Small 3.1: 19.7 (#254)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Hard Prompts14291278
Kagi LLM Benchmark57.9%—
Chess Puzzles—1%
Epoch Capabilities Index—127.48

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), Mistral Small 3.1: 14.7 (#301)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Math14271262
OTIS Mock AIME 2024-2025—3.9%
Omni-MATH—24.8%

Knowledge GLM-4.5 leads

GLM-4.5: 35.9 (#179), Mistral Small 3.1: 22.6 (#271)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Expert14331257
GPQA Diamond—41.9%
Humanity's Last Exam8.3%—
MMLU-Pro—61%
Confabulations11.3%—
GPQA (HELM)—39.2%

Multimodal Not comparable

GLM-4.5: —, Mistral Small 3.1: 33.2 (#99)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Vision—1136

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), Mistral Small 3.1: 41.2 (#209)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Non-English14171255
LMArena Chinese14651253
LMArena French14181273
LMArena German14071266
LMArena Japanese14151208
LMArena Korean13801206
LMArena Russian14141263
LMArena Spanish14541283

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), Mistral Small 3.1: 63.6 (#230)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Instruction Following14041264
IFEval—75%

Long Context Mistral Small 3.1 leads

GLM-4.5: 38.2 (#201), Mistral Small 3.1: 39.5 (#178)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Longer Query14121299
Fiction.LiveBench58.3%—

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.5 (#127), Mistral Small 3.1: 37.0 (#259)

BenchmarkGLM-4.5Mistral Small 3.1
LMArena Text14301277
LMArena Creative Writing13951253
EQ-Bench Creative Writing1343761
LMArena Multi-Turn14151270
Short-Story Creative Writing73.4%—
WildBench—78.8%

Frequently asked questions

Is GLM-4.5 better than Mistral Small 3.1?

GLM-4.5 is the stronger model overall, scoring 42.0 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 2.5× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5 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 lists at $0.60 and $2.20.

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

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5 does, with 131K tokens against 128K.

How many benchmarks do GLM-4.5 and Mistral Small 3.1 share?

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

Related comparisons

Go deeper