Noometry

Model comparison

GLM-4.7 vs Mistral Large 4

Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.7 scores higher in 4 categories and Mistral Large 4 in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 36.6.
  • The biggest single-benchmark swing is SimpleQA Verified: 32.2% for GLM-4.7 and 20% for Mistral Large 4.
  • 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-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7Mistral Large 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index42.043.1
Released2025-12-222026-10-06
WeightsOpenProprietary
Context window205K1.05M
Max output131K262K
Input $ / M tokens$0.60$0.68
Output $ / M tokens$2.20$2.09
Results tracked3615

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Category by category

Coding Mistral Large 4 leads

GLM-4.7: 44.0 (#79), Mistral Large 4: 48.6 (#57)

BenchmarkGLM-4.7Mistral Large 4
LMArena WebDev14351541
LMArena Coding14541475
SciCode45.1%—
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Mistral Large 4: —

BenchmarkGLM-4.7Mistral Large 4
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), Mistral Large 4: 22.5 (#192)

BenchmarkGLM-4.7Mistral Large 4
LMArena Hard Prompts14431444
SimpleBench47.7%—
NYT Connections (extended)—27.4%
CritPt1.7%—
Chess Puzzles6%—
Epoch Capabilities Index143.51—

Math Mistral Large 4 leads

GLM-4.7: 38.6 (#135), Mistral Large 4: 40.4 (#91)

BenchmarkGLM-4.7Mistral Large 4
LMArena Math14231488
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), Mistral Large 4: 36.6 (#166)

BenchmarkGLM-4.7Mistral Large 4
SimpleQA Verified32.2%20%
LMArena Expert14241447
GPQA Diamond83.3%—
Vectara Hallucination Rate11.7%—

Multilingual Too close to call

GLM-4.7: 52.8 (#79), Mistral Large 4: 52.6 (#82)

BenchmarkGLM-4.7Mistral Large 4
LMArena Non-English14171415
LMArena Chinese14951491
LMArena Russian14231414
LMArena French1432—
LMArena German1424—
LMArena Japanese1439—
LMArena Korean1399—
LMArena Spanish1434—

Instruction Following Too close to call

GLM-4.7: 74.4 (#95), Mistral Large 4: 75.0 (#76)

BenchmarkGLM-4.7Mistral Large 4
LMArena Instruction Following14111424

Long Context Too close to call

GLM-4.7: 42.8 (#116), Mistral Large 4: 43.6 (#89)

BenchmarkGLM-4.7Mistral Large 4
LMArena Longer Query14321429
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference Too close to call

GLM-4.7: 60.9 (#93), Mistral Large 4: 60.4 (#97)

BenchmarkGLM-4.7Mistral Large 4
LMArena Text14351427
LMArena Creative Writing14011361
LMArena Multi-Turn14461424
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than Mistral Large 4?

Mistral Large 4 is the stronger model overall, scoring 43.1 to 42.0 on the Noometry Index.

Which is cheaper, GLM-4.7 or Mistral Large 4?

GLM-4.7 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-4.7 or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 44.0 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-4.7 and Mistral Large 4 share?

14 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Mistral Large 4 has 15.

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