Model comparison

GLM-5.3-Flash vs Mistral Large 3

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.3-Flash leads 48.0 to 15.2.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3-Flash and Mistral Large 3 specifications
GLM-5.3-FlashMistral Large 3
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index51.839.1
Released2026-08-202025-12-02
WeightsOpenOpen
Context window1M262K
Max output131K8K
Input $ / M tokens$0.15$0.25
Output $ / M tokens$0.50$0.75
Results tracked4024

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Mistral Large 3: 34.4 (#237)

Coding benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena WebDev16091230
LMArena Coding15081448
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 3: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Hard Prompts14911429
ARC-AGI-265.8%—
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
Thematic Generalization—23%
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 3: 38.7 (#129)

Math benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Math15001414
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 3: 36.0 (#177)

Knowledge benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Expert15131421
GPQA Diamond90.2%—
Vectara Hallucination Rate—14.5%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.8 (#27), Mistral Large 3: 38.2 (#66)

Multimodal benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Vision12961221

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Non-English14621413
LMArena Chinese15271447
LMArena French14961455
LMArena German14701437
LMArena Japanese14291394
LMArena Korean14461384
LMArena Russian14691411
LMArena Spanish14711440

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Instruction Following14781403

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Mistral Large 3: 43.1 (#105)

Long Context benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Longer Query14821413

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
BenchmarkGLM-5.3-FlashMistral Large 3
LMArena Text14711428
LMArena Creative Writing14421386
LMArena Multi-Turn14671429
EQ-Bench Creative Writing—1412

Frequently asked questions

Is GLM-5.3-Flash better than Mistral Large 3?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 39.1 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Mistral Large 3?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

Is GLM-5.3-Flash or Mistral Large 3 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 262K.

How many benchmarks do GLM-5.3-Flash and Mistral Large 3 share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Mistral Large 3 has 24.

Related comparisons

Go deeper