Noometry

Model comparison

GLM-5.3-Flash vs Ministral 8B

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 28.2 on the Noometry Index. Ministral 8B costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Ministral 8B Mistral AI

28.2

Rank #325 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 12.6.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 27.1% for Ministral 8B.
  • Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3-FlashMinistral 8B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index51.828.2
Released2026-08-202024-10-01
WeightsOpenOpen
Context window1M262K
Max output131K262K
Input $ / M tokens$0.15$0.15
Output $ / M tokens$0.50$0.15
Results tracked4017

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Ministral 8B: 35.0 (#230)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Coding15081202
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Ministral 8B: 16.4 (#148)

BenchmarkGLM-5.3-FlashMinistral 8B
APEX-Agents52.8%—
Berkeley Function Calling Leaderboard—11.1%
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Ministral 8B: 18.4 (#281)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Hard Prompts14911191
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
DTBench—45.7%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Ministral 8B: 25.7 (#267)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Math15001188
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
MATH Level 5—14.9%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Ministral 8B: 12.6 (#297)

BenchmarkGLM-5.3-FlashMinistral 8B
GPQA Diamond90.2%27.1%
LMArena Expert15131170
Vectara Hallucination Rate—7.4%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Ministral 8B: —

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Ministral 8B: 35.1 (#247)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Non-English14621165
LMArena Chinese15271193
LMArena Russian14691195
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Ministral 8B: 60.5 (#250)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Instruction Following14781161

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Ministral 8B: 36.7 (#227)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Longer Query14821212

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Ministral 8B: 39.6 (#246)

BenchmarkGLM-5.3-FlashMinistral 8B
LMArena Text14711191
LMArena Creative Writing14421175
LMArena Multi-Turn14671166

Frequently asked questions

Is GLM-5.3-Flash better than Ministral 8B?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 28.2 on the Noometry Index. Ministral 8B costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Which is cheaper, GLM-5.3-Flash or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

Is GLM-5.3-Flash or Ministral 8B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 35.0 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 262K.

How many benchmarks do GLM-5.3-Flash and Ministral 8B share?

13 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Ministral 8B has 17.

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