Noometry

Model comparison

GLM-4.6 vs Mistral Small 3

GLM-4.6 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index. Mistral Small 3 costs 17× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Last verified . 17 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 32.2.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • GLM-4.6 accepts more context: 205K tokens versus 33K.

Side by side

GLM-4.6Mistral Small 3
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index41.431.2
Released2025-09-302025-01-30
WeightsOpenOpen
Context window205K33K
Max output131K16K
Input $ / M tokens$0.60$0.05
Output $ / M tokens$2.20$0.08
Results tracked2924

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), Mistral Small 3: 36.5 (#207)

BenchmarkGLM-4.6Mistral Small 3
LMArena Coding14491246
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Mistral Small 3: —

BenchmarkGLM-4.6Mistral Small 3
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), Mistral Small 3: 18.9 (#273)

BenchmarkGLM-4.6Mistral Small 3
LMArena Hard Prompts14401233
Kagi LLM Benchmark47.4%—
CritPt1.1%—
Chess Puzzles—0%
Epoch Capabilities Index—127.07

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), Mistral Small 3: 16.3 (#295)

BenchmarkGLM-4.6Mistral Small 3
LMArena Math14321240
OTIS Mock AIME 2024-2025—6.7%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), Mistral Small 3: 25.1 (#263)

BenchmarkGLM-4.6Mistral Small 3
LMArena Expert14311202
GPQA Diamond—47.3%
Confabulations—25.2%
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), Mistral Small 3: 37.3 (#236)

BenchmarkGLM-4.6Mistral Small 3
LMArena Non-English14261198
LMArena Chinese14991204
LMArena French14591203
LMArena German14471211
LMArena Japanese13931111
LMArena Korean14001188
LMArena Russian14191216
LMArena Spanish1436—

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), Mistral Small 3: 63.7 (#229)

BenchmarkGLM-4.6Mistral Small 3
LMArena Instruction Following14101214

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), Mistral Small 3: 37.8 (#211)

BenchmarkGLM-4.6Mistral Small 3
LMArena Longer Query14221246

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), Mistral Small 3: 32.2 (#280)

BenchmarkGLM-4.6Mistral Small 3
LMArena Text14401234
LMArena Creative Writing14111195
EQ-Bench Creative Writing1411707
LMArena Multi-Turn14271217

Frequently asked questions

Is GLM-4.6 better than Mistral Small 3?

GLM-4.6 is the stronger model overall, scoring 41.4 to 31.2 on the Noometry Index. Mistral Small 3 costs 17× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6 or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or Mistral Small 3 better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 33K.

How many benchmarks do GLM-4.6 and Mistral Small 3 share?

17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral Small 3 has 24.

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