Noometry

Model comparison

GLM-4.5 vs Ministral 8B

GLM-4.5 is the stronger model overall, scoring 42.0 to 28.2 on the Noometry Index. Ministral 8B costs 6.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Ministral 8B Mistral AI

28.2

Rank #325 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.5 scores higher in 8 categories and Ministral 8B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.5 leads 35.9 to 12.6.
  • Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • Ministral 8B accepts more context: 262K tokens versus 131K.

Side by side

GLM-4.5Ministral 8B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index42.028.2
Released2025-07-272024-10-01
WeightsOpenOpen
Context window131K262K
Max output98K262K
Input $ / M tokens$0.60$0.15
Output $ / M tokens$2.20$0.15
Results tracked2717

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Ministral 8B: 35.0 (#230)

BenchmarkGLM-4.5Ministral 8B
LMArena Coding14341202
SWE-bench Verified (bash only)54.2%—
WeirdML40.6%—
ALE-Bench344.82—
AlgoTune1.52—

Agentic & Tool Use Not comparable

GLM-4.5: —, Ministral 8B: 16.4 (#148)

BenchmarkGLM-4.5Ministral 8B
Berkeley Function Calling Leaderboard—11.1%

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Ministral 8B: 18.4 (#281)

BenchmarkGLM-4.5Ministral 8B
LMArena Hard Prompts14291191
Kagi LLM Benchmark57.9%—
DTBench—45.7%

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), Ministral 8B: 25.7 (#267)

BenchmarkGLM-4.5Ministral 8B
LMArena Math14271188
MATH Level 5—14.9%

Knowledge GLM-4.5 leads

GLM-4.5: 35.9 (#179), Ministral 8B: 12.6 (#297)

BenchmarkGLM-4.5Ministral 8B
LMArena Expert14331170
GPQA Diamond—27.1%
Humanity's Last Exam8.3%—
Confabulations11.3%—
Vectara Hallucination Rate—7.4%

Multilingual GLM-4.5 leads

GLM-4.5: 52.8 (#77), Ministral 8B: 35.1 (#247)

BenchmarkGLM-4.5Ministral 8B
LMArena Non-English14171165
LMArena Chinese14651193
LMArena Russian14141195
LMArena French1418—
LMArena German1407—
LMArena Japanese1415—
LMArena Korean1380—
LMArena Spanish1454—

Instruction Following GLM-4.5 leads

GLM-4.5: 74.1 (#104), Ministral 8B: 60.5 (#250)

BenchmarkGLM-4.5Ministral 8B
LMArena Instruction Following14041161

Long Context GLM-4.5 leads

GLM-4.5: 38.2 (#201), Ministral 8B: 36.7 (#227)

BenchmarkGLM-4.5Ministral 8B
LMArena Longer Query14121212
Fiction.LiveBench58.3%—

Writing & Preference GLM-4.5 leads

GLM-4.5: 57.5 (#127), Ministral 8B: 39.6 (#246)

BenchmarkGLM-4.5Ministral 8B
LMArena Text14301191
LMArena Creative Writing13951175
LMArena Multi-Turn14151166
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—

Frequently asked questions

Is GLM-4.5 better than Ministral 8B?

GLM-4.5 is the stronger model overall, scoring 42.0 to 28.2 on the Noometry Index. Ministral 8B costs 6.7× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5 or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or Ministral 8B better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 35.0 in the Noometry coding category.

Which has the bigger context window?

Ministral 8B does, with 262K tokens against 131K.

How many benchmarks do GLM-4.5 and Ministral 8B share?

12 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Ministral 8B has 17.

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