Model comparison

GLM-5V-Turbo vs Magistral Small

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 29.9 on the Noometry Index. Magistral Small costs 2.5× 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

Magistral Small Mistral AI

29.9

Rank #289 Confirmed

Summary

  • The widest gap is in reasoning, where GLM-5V-Turbo leads 28.5 to 6.9.
  • Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
  • Magistral Small has downloadable open weights; the other is API-only.

Side by side

GLM-5V-Turbo and Magistral Small specifications
GLM-5V-TurboMagistral Small
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index43.129.9
Released2026-04-012025-06-10
WeightsProprietaryOpen
Context window200K128K
Max output131K40K
Input $ / M tokens$1.20$0.50
Output $ / M tokens$4$1.50
Results tracked1910

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

Category by category

Coding GLM-5V-Turbo leads

GLM-5V-Turbo: 41.8 (#105), Magistral Small: 37.8 (#172)

Coding benchmarks
BenchmarkGLM-5V-TurboMagistral Small
LMArena WebDev1400—
SciCode—35.2%
LMArena Coding1467—

Reasoning GLM-5V-Turbo leads

GLM-5V-Turbo: 28.5 (#87), Magistral Small: 6.9 (#345)

Reasoning benchmarks
BenchmarkGLM-5V-TurboMagistral Small
ARC-AGI-2—0%
Kagi LLM Benchmark—6.3%
ARC-AGI-1—5%
CritPt—0.3%
Chess Puzzles—3%
LMArena Hard Prompts1443—
DTBench—61.3%
Epoch Capabilities Index—133.19

Math GLM-5V-Turbo leads

GLM-5V-Turbo: 36.6 (#109), Magistral Small: 24.9 (#253)

Math benchmarks
BenchmarkGLM-5V-TurboMagistral Small
OTIS Mock AIME 2024-2025—30%
LMArena Math1440—

Knowledge GLM-5V-Turbo leads

GLM-5V-Turbo: 39.9 (#113), Magistral Small: 30.9 (#215)

Knowledge benchmarks
BenchmarkGLM-5V-TurboMagistral Small
GPQA Diamond—56.1%
LMArena Expert1451—

Multimodal Not comparable

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

Multimodal benchmarks
BenchmarkGLM-5V-TurboMagistral Small
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

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

Multilingual benchmarks
BenchmarkGLM-5V-TurboMagistral Small
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), Magistral Small: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboMagistral Small
LMArena Instruction Following1422—

Long Context Not comparable

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

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

Writing & Preference Not comparable

GLM-5V-Turbo: 62.6 (#69), Magistral Small: —

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboMagistral Small
LMArena Text1437—
LMArena Creative Writing1414—
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than Magistral Small?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 29.9 on the Noometry Index. Magistral Small costs 2.5× 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 Magistral Small?

Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or Magistral Small better for coding?

GLM-5V-Turbo scores higher on coding benchmarks: 41.8 versus 37.8 in the Noometry coding category.

Which has the bigger context window?

GLM-5V-Turbo does, with 200K tokens against 128K.

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

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Magistral Small has 10.

Related comparisons

Go deeper