Noometry

Model comparison

GLM-5.3-Flash vs Mistral Small

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.4 on the Noometry Index.

Last verified . 23 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GLM-5.3-Flash scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 16.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 5.8% for Mistral Small.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3-FlashMistral Small
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index51.833.4
Released2026-08-202024-02-26
WeightsOpenOpen
Context window1M262K
Max output131K256K
Input $ / M tokens$0.15$0.15
Output $ / M tokens$0.50$0.60
Results tracked4039

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#31), Mistral Small: 34.0 (#247)

BenchmarkGLM-5.3-FlashMistral Small
SciCode51.6%26.5%
LMArena Coding15081362
ALE-Bench303.55497.62
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
BigCodeBench Complete—46.6%

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Mistral Small: 28.1 (#93)

BenchmarkGLM-5.3-FlashMistral Small
APEX-Agents52.8%—
Berkeley Function Calling Leaderboard—37.1%
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Mistral Small: 19.8 (#250)

BenchmarkGLM-5.3-FlashMistral Small
CritPt15.4%0%
LMArena Hard Prompts14911335
ARC-AGI-265.8%—
Kagi LLM Benchmark—37.8%
ARC-AGI-191%—
Chess Puzzles14%—
LiveBench Reasoning—44.8%
Mystery Game Puzzles8%—
DTBench—70.9%
LiveBench Data Analysis—53.7%
LMCA—20.6%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
Epoch Capabilities Index151.88—
LiveBench—44%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Mistral Small: 16.4 (#293)

BenchmarkGLM-5.3-FlashMistral Small
OTIS Mock AIME 2024-202593.9%5.8%
LMArena Math15001341
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
ProofBench21%—
LiveBench Math—39.9%
MATH Level 5—46.8%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Mistral Small: 31.0 (#222)

BenchmarkGLM-5.3-FlashMistral Small
GPQA Diamond90.2%47.5%
LMArena Expert15131291
Vectara Hallucination Rate—5.1%
MMLU—68.7%

Multimodal GLM-5.3-Flash leads

GLM-5.3-Flash: 42.8 (#27), Mistral Small: 33.5 (#96)

BenchmarkGLM-5.3-FlashMistral Small
LMArena Vision12961142

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.0 (#25), Mistral Small: 45.5 (#169)

BenchmarkGLM-5.3-FlashMistral Small
LMArena Non-English14621315
LMArena Chinese15271340
LMArena French14961337
LMArena German14701340
LMArena Japanese14291275
LMArena Korean14461259
LMArena Russian14691324
LMArena Spanish14711346

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.5 (#20), Mistral Small: 66.4 (#209)

BenchmarkGLM-5.3-FlashMistral Small
LMArena Instruction Following14781310
LiveBench Instruction Following—63.7%

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.4 (#39), Mistral Small: 40.4 (#156)

BenchmarkGLM-5.3-FlashMistral Small
LMArena Longer Query14821327

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Mistral Small: 52.5 (#171)

BenchmarkGLM-5.3-FlashMistral Small
LMArena Text14711338
LMArena Creative Writing14421305
LMArena Multi-Turn14671344
LiveBench Language—30.5%

Frequently asked questions

Is GLM-5.3-Flash better than Mistral Small?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 33.4 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Mistral Small?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mistral Small lists at $0.15 and $0.60.

Is GLM-5.3-Flash or Mistral Small better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 34.0 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 Small share?

23 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Mistral Small has 39.

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