Noometry

Model comparison

GLM-4.7 vs Ministral 8B

GLM-4.7 is the stronger model overall, scoring 41.7 to 27.8 on the Noometry Index. Ministral 8B costs 10× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

41.7

Rank #117 Confirmed

Ministral 8B Mistral AI

27.8

Rank #321 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.7 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-4.7 leads 47.0 to 12.5.
  • The biggest single-benchmark swing is GPQA Diamond: 83.3% for GLM-4.7 and 27.1% for Ministral 8B.
  • Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
  • GLM-4.7 accepts more context: 205K tokens versus 128K.

Side by side

GLM-4.7Ministral 8B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index41.727.8
Released2025-12-222024-10-01
WeightsOpenOpen
Context window205K128K
Max output131K128K
Input $ / M tokens$0.60$0.10
Output $ / M tokens$2.20$0.10
Results tracked3617

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 43.6 (#74), Ministral 8B: 34.4 (#226)

BenchmarkGLM-4.7Ministral 8B
LMArena Coding14541202
LMArena WebDev1435—
SciCode45.1%—
ALE-Bench399.48—

Agentic & Tool Use GLM-4.7 leads

GLM-4.7: 26.4 (#96), Ministral 8B: 16.2 (#140)

BenchmarkGLM-4.7Ministral 8B
Terminal-Bench33.4%—
Berkeley Function Calling Leaderboard—11.1%
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 23.7 (#161), Ministral 8B: 17.7 (#279)

BenchmarkGLM-4.7Ministral 8B
LMArena Hard Prompts14431191
SimpleBench47.7%—
CritPt1.7%—
Chess Puzzles6%—
DTBench—45.7%
Epoch Capabilities Index143.53—

Math GLM-4.7 leads

GLM-4.7: 37.7 (#92), Ministral 8B: 23.7 (#262)

BenchmarkGLM-4.7Ministral 8B
LMArena Math14231188
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
MATH Level 5—14.9%
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#74), Ministral 8B: 12.5 (#292)

BenchmarkGLM-4.7Ministral 8B
GPQA Diamond83.3%27.1%
Vectara Hallucination Rate11.7%7.4%
LMArena Expert14241170
SimpleQA Verified32.2%—

Multilingual GLM-4.7 leads

GLM-4.7: 53.0 (#75), Ministral 8B: 35.3 (#242)

BenchmarkGLM-4.7Ministral 8B
LMArena Non-English14171165
LMArena Chinese14951193
LMArena Russian14231195
LMArena French1432—
LMArena German1426—
LMArena Japanese1439—
LMArena Korean1401—
LMArena Spanish1433—

Instruction Following GLM-4.7 leads

GLM-4.7: 74.6 (#90), Ministral 8B: 60.7 (#245)

BenchmarkGLM-4.7Ministral 8B
LMArena Instruction Following14111161

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#111), Ministral 8B: 36.7 (#222)

BenchmarkGLM-4.7Ministral 8B
LMArena Longer Query14321212
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 61.1 (#89), Ministral 8B: 39.8 (#241)

BenchmarkGLM-4.7Ministral 8B
LMArena Text14361191
LMArena Creative Writing14011175
LMArena Multi-Turn14461166
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than Ministral 8B?

GLM-4.7 is the stronger model overall, scoring 41.7 to 27.8 on the Noometry Index. Ministral 8B costs 10× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7 or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is GLM-4.7 or Ministral 8B better for coding?

GLM-4.7 scores higher on coding benchmarks: 43.6 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 128K.

How many benchmarks do GLM-4.7 and Ministral 8B share?

14 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Ministral 8B has 17.

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