Noometry

Model comparison

GLM-4.7 vs Ministral 3B

GLM-4.7 is the stronger model overall, scoring 42.0 to 26.2 on the Noometry Index. Ministral 3B 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 . 3 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Ministral 3B Mistral AI

26.2

Rank #338 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GLM-4.7 scores higher in 3 categories and Ministral 3B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 10.4.
  • The biggest single-benchmark swing is GPQA Diamond: 83.3% for GLM-4.7 and 25.3% for Ministral 3B.
  • Ministral 3B 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 131K.

Side by side

GLM-4.7Ministral 3B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index42.026.2
Released2025-12-222024-10-01
WeightsOpenOpen
Context window205K131K
Max output131K262K
Input $ / M tokens$0.60$0.10
Output $ / M tokens$2.20$0.10
Results tracked366

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Category by category

Coding Not comparable

GLM-4.7: 44.0 (#79), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
LMArena WebDev1435—
SciCode45.1%—
LMArena Coding1454—
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), Ministral 3B: 18.4 (#282)

BenchmarkGLM-4.7Ministral 3B
Epoch Capabilities Index143.51118.1
SimpleBench47.7%—
CritPt1.7%—
Chess Puzzles6%—
LMArena Hard Prompts1443—
DTBench—51.7%
LMCA—5.5%

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), Ministral 3B: 26.6 (#258)

BenchmarkGLM-4.7Ministral 3B
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
LMArena Math1423—
MATH Level 5—14.4%
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), Ministral 3B: 10.4 (#302)

BenchmarkGLM-4.7Ministral 3B
GPQA Diamond83.3%25.3%
Vectara Hallucination Rate11.7%7.3%
SimpleQA Verified32.2%—
LMArena Expert1424—

Multilingual Not comparable

GLM-4.7: 52.8 (#79), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
LMArena Non-English1417—
LMArena Chinese1495—
LMArena French1432—
LMArena German1424—
LMArena Japanese1439—
LMArena Korean1399—
LMArena Russian1423—
LMArena Spanish1434—

Instruction Following Not comparable

GLM-4.7: 74.4 (#95), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
LMArena Instruction Following1411—

Long Context Not comparable

GLM-4.7: 42.8 (#116), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
CL-bench15.9%—
CL-bench Life10.9%—
LMArena Longer Query1432—

Writing & Preference Not comparable

GLM-4.7: 60.9 (#93), Ministral 3B: —

BenchmarkGLM-4.7Ministral 3B
LMArena Text1435—
LMArena Creative Writing1401—
EQ-Bench Creative Writing1413—
LMArena Multi-Turn1446—

Frequently asked questions

Is GLM-4.7 better than Ministral 3B?

GLM-4.7 is the stronger model overall, scoring 42.0 to 26.2 on the Noometry Index. Ministral 3B 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 3B?

Ministral 3B 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.

Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 131K.

How many benchmarks do GLM-4.7 and Ministral 3B share?

3 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Ministral 3B has 6.

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