Noometry

Model comparison

GLM-4.5V vs Mistral Small 3

GLM-4.5V is the stronger model overall, scoring 39.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 16× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5V leads 37.4 to 16.3.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • GLM-4.5V accepts more context: 64K tokens versus 33K.

Side by side

GLM-4.5VMistral Small 3
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index39.831.2
Released2025-08-112025-01-30
WeightsOpenOpen
Context window64K33K
Max output16K16K
Input $ / M tokens$0.60$0.05
Output $ / M tokens$1.80$0.08
Results tracked1524

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 39.5 (#155), Mistral Small 3: 36.5 (#207)

BenchmarkGLM-4.5VMistral Small 3
LMArena Coding13471246
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%

Reasoning GLM-4.5V leads

GLM-4.5V: 27.4 (#119), Mistral Small 3: 18.9 (#273)

BenchmarkGLM-4.5VMistral Small 3
LMArena Hard Prompts13341233
Kagi LLM Benchmark59.8%—
Chess Puzzles—0%
Epoch Capabilities Index—127.07

Math GLM-4.5V leads

GLM-4.5V: 37.4 (#159), Mistral Small 3: 16.3 (#295)

BenchmarkGLM-4.5VMistral Small 3
LMArena Math13541240
OTIS Mock AIME 2024-2025—6.7%

Knowledge GLM-4.5V leads

GLM-4.5V: 37.5 (#156), Mistral Small 3: 25.1 (#263)

BenchmarkGLM-4.5VMistral Small 3
LMArena Expert13531202
GPQA Diamond—47.3%
Confabulations—25.2%

Multimodal Not comparable

GLM-4.5V: 34.3 (#92), Mistral Small 3: —

BenchmarkGLM-4.5VMistral Small 3
LMArena Vision1154—

Multilingual GLM-4.5V leads

GLM-4.5V: 44.6 (#177), Mistral Small 3: 37.3 (#236)

BenchmarkGLM-4.5VMistral Small 3
LMArena Non-English13031198
LMArena Chinese13371204
LMArena Russian12981216
LMArena French—1203
LMArena German—1211
LMArena Japanese—1111
LMArena Korean—1188
LMArena Spanish1336—

Instruction Following GLM-4.5V leads

GLM-4.5V: 69.2 (#175), Mistral Small 3: 63.7 (#229)

BenchmarkGLM-4.5VMistral Small 3
LMArena Instruction Following13111214

Long Context GLM-4.5V leads

GLM-4.5V: 39.6 (#171), Mistral Small 3: 37.8 (#211)

BenchmarkGLM-4.5VMistral Small 3
LMArena Longer Query13041246

Writing & Preference GLM-4.5V leads

GLM-4.5V: 52.5 (#170), Mistral Small 3: 32.2 (#280)

BenchmarkGLM-4.5VMistral Small 3
LMArena Text13331234
LMArena Creative Writing12951195
LMArena Multi-Turn13321217
EQ-Bench Creative Writing—707

Frequently asked questions

Is GLM-4.5V better than Mistral Small 3?

GLM-4.5V is the stronger model overall, scoring 39.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 16× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Mistral Small 3 better for coding?

GLM-4.5V scores higher on coding benchmarks: 39.5 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.5V does, with 64K tokens against 33K.

How many benchmarks do GLM-4.5V and Mistral Small 3 share?

12 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Mistral Small 3 has 24.

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