Model comparison

GLM-5V-Turbo vs Mistral Small 3.2

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.1

Rank #86 Confirmed

Mistral Small 3.2 Mistral AI

30.8

Rank #271 Confirmed

Summary

  • The widest gap is in writing & preference, where GLM-5V-Turbo leads 62.6 to 45.1.
  • Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
  • Mistral Small 3.2 has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and Mistral Small 3.2 specifications
GLM-5V-TurboMistral Small 3.2
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index43.130.8
Released2026-04-012025-06-20
WeightsProprietaryOpen
Context window200K256K
Max output131K16K
Input $ / M tokens$1.20$0.0938
Output $ / M tokens$4$0.25
Results tracked196

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Category by category

Coding Not comparable

GLM-5V-Turbo: 41.8 (#105), Mistral Small 3.2: —

Coding benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena WebDev1400—
LMArena Coding1467—

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 28.5 (#87), Mistral Small 3.2: 17.5 (#282)

Reasoning benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
Kagi LLM Benchmark—40.4%
Chess Puzzles—1%
LMArena Hard Prompts1443—
Epoch Capabilities Index—131.73

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 36.6 (#109), Mistral Small 3.2: 24.9 (#251)

Math benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
OTIS Mock AIME 2024-2025—30.3%
LMArena Math1440—

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 39.9 (#113), Mistral Small 3.2: 26.8 (#249)

Knowledge benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
GPQA Diamond—49.1%
LMArena Expert1451—

Multimodal Not comparable

GLM-5V-Turbo: 40.1 (#41), Mistral Small 3.2: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

GLM-5V-Turbo: 53.2 (#69), Mistral Small 3.2: —

Multilingual benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena Non-English1420—
LMArena Chinese1488—
LMArena French1443—
LMArena German1422—
LMArena Korean1399—
LMArena Russian1432—
LMArena Spanish1446—

Instruction Following Not comparable

GLM-5V-Turbo: 75.1 (#75), Mistral Small 3.2: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena Instruction Following1422—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#76), Mistral Small 3.2: —

Long Context benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena Longer Query1439—

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.6 (#69), Mistral Small 3.2: 45.1 (#219)

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboMistral Small 3.2
LMArena Text1437—
LMArena Creative Writing1414—
EQ-Bench Creative Writing—1255
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than Mistral Small 3.2?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 14× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-5V-Turbo or Mistral Small 3.2?

Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Which has the bigger context window?

Mistral Small 3.2 does, with 256K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Mistral Small 3.2 share?

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Mistral Small 3.2 has 6.

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