Noometry

Model comparison

GLM-5.3-Flash vs Mistral Large 4

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.1 on the Noometry Index.

Last verified . 13 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 22.5.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
  • GLM-5.3-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-5.3-FlashMistral Large 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index51.843.1
Released2026-08-202026-10-06
WeightsOpenProprietary
Context window1M1.05M
Max output131K262K
Input $ / M tokens$0.15$0.68
Output $ / M tokens$0.50$2.09
Results tracked4015

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Mistral Large 4: 48.6 (#57)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena WebDev16091541
LMArena Coding15081475
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
FrontierSWE18.1%—
SciCode51.6%—
ALE-Bench303.55—

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.2 (#47), Mistral Large 4: —

BenchmarkGLM-5.3-FlashMistral Large 4
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Mistral Large 4: 22.5 (#192)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Hard Prompts14911444
ARC-AGI-265.8%—
NYT Connections (extended)—27.4%
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Mistral Large 4: 40.4 (#91)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Math15001488
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Mistral Large 4: 36.6 (#166)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Expert15131447
GPQA Diamond90.2%—
SimpleQA Verified—20%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Mistral Large 4: —

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Vision1296—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Mistral Large 4: 52.6 (#82)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Non-English14621415
LMArena Chinese15271491
LMArena Russian14691414
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Spanish1471—

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Mistral Large 4: 75.0 (#76)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Instruction Following14781424

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Mistral Large 4: 43.6 (#89)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Longer Query14821429

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Mistral Large 4: 60.4 (#97)

BenchmarkGLM-5.3-FlashMistral Large 4
LMArena Text14711427
LMArena Creative Writing14421361
LMArena Multi-Turn14671424

Frequently asked questions

Is GLM-5.3-Flash better than Mistral Large 4?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.1 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Mistral Large 4?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is GLM-5.3-Flash or Mistral Large 4 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

How many benchmarks do GLM-5.3-Flash and Mistral Large 4 share?

13 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Mistral Large 4 has 15.

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