Noometry

Model comparison

GLM-4.6 vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.4 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.6 scores higher in 4 categories and Mistral Large 4 in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Mistral Large 4 leads 48.6 to 40.1.
  • Both cost about the same: $0.60 input and $2.20 output per million tokens.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 205K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6Mistral Large 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index41.443.1
Released2025-09-302026-10-06
WeightsOpenProprietary
Context window205K1.05M
Max output131K262K
Input $ / M tokens$0.60$0.68
Output $ / M tokens$2.20$2.09
Results tracked2915

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Category by category

Coding Mistral Large 4 leads

GLM-4.6: 40.1 (#148), Mistral Large 4: 48.6 (#57)

BenchmarkGLM-4.6Mistral Large 4
LMArena WebDev13401541
LMArena Coding14491475
SWE-bench Verified (bash only)55.4%—
SciCode38.4%—
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Mistral Large 4: —

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

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), Mistral Large 4: 22.5 (#192)

BenchmarkGLM-4.6Mistral Large 4
LMArena Hard Prompts14401444
Kagi LLM Benchmark47.4%—
NYT Connections (extended)—27.4%
CritPt1.1%—

Math Mistral Large 4 leads

GLM-4.6: 39.1 (#111), Mistral Large 4: 40.4 (#91)

BenchmarkGLM-4.6Mistral Large 4
LMArena Math14321488
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), Mistral Large 4: 36.6 (#166)

BenchmarkGLM-4.6Mistral Large 4
LMArena Expert14311447
SimpleQA Verified—20%
Vectara Hallucination Rate9.5%—

Multilingual Too close to call

GLM-4.6: 53.5 (#66), Mistral Large 4: 52.6 (#82)

BenchmarkGLM-4.6Mistral Large 4
LMArena Non-English14261415
LMArena Chinese14991491
LMArena Russian14191414
LMArena French1459—
LMArena German1447—
LMArena Japanese1393—
LMArena Korean1400—
LMArena Spanish1436—

Instruction Following Too close to call

GLM-4.6: 74.3 (#98), Mistral Large 4: 75.0 (#76)

BenchmarkGLM-4.6Mistral Large 4
LMArena Instruction Following14101424

Long Context Too close to call

GLM-4.6: 43.4 (#94), Mistral Large 4: 43.6 (#89)

BenchmarkGLM-4.6Mistral Large 4
LMArena Longer Query14221429

Writing & Preference Too close to call

GLM-4.6: 61.1 (#90), Mistral Large 4: 60.4 (#97)

BenchmarkGLM-4.6Mistral Large 4
LMArena Text14401427
LMArena Creative Writing14111361
LMArena Multi-Turn14271424
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.4 on the Noometry Index.

Which is cheaper, GLM-4.6 or Mistral Large 4?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GLM-4.6 or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 205K.

How many benchmarks do GLM-4.6 and Mistral Large 4 share?

13 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral Large 4 has 15.

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