Model comparison

GLM-5.3 vs Mistral Small 4

GLM-5.3 has enough public results to be ranked (#26); Mistral Small 4 does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GLM-5.3 Z.ai (Zhipu)

54.8

Rank #26 Confirmed

Mistral Small 4 Mistral AI

30.8

Unranked Sparse

Summary

  • The widest gap is in reasoning, where GLM-5.3 leads 46.1 to 21.9.
  • Mistral Small 4 is cheaper at $0.075 / $0.30 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
  • GLM-5.3 accepts more context: 1M tokens versus 262K.

Side by side

GLM-5.3 and Mistral Small 4 specifications
GLM-5.3Mistral Small 4
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index54.830.8
Released2026-08-14—
WeightsOpenOpen
Context window1M262K
Max output131K210K
Input $ / M tokens$1.40$0.075
Output $ / M tokens$4.40$0.30
Results tracked421

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Category by category

Coding Not comparable

GLM-5.3: 59.5 (#14), Mistral Small 4: —

Coding benchmarks
BenchmarkGLM-5.3Mistral Small 4
DeepSWE69%—
FrontierCode40.1%—
CursorBench42.6%—
LMArena WebDev1622—
FrontierSWE30.2%—
SciCode59%—
WeirdML75.4%—
LMArena Coding1496—
ALE-Bench1,317—

Agentic & Tool Use Not comparable

GLM-5.3: 36.4 (#38), Mistral Small 4: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.3Mistral Small 4
APEX-Agents56.6%—
Vending-Bench 28,164—

Reasoning GLM-5.3 leads

GLM-5.3: 46.1 (#46), Mistral Small 4: 21.9

Reasoning benchmarks
BenchmarkGLM-5.3Mistral Small 4
Kagi LLM Benchmark—40.5%
NYT Connections (extended)74.2%—
CritPt19.1%—
Chess Puzzles21%—
LMArena Hard Prompts1489—
Mystery Game Puzzles33%—
DTBench87.7%—
LMCA55.5%—
Bench to the Future 30.15—
Epoch Capabilities Index155.61—

Math Not comparable

GLM-5.3: 62.3 (#33), Mistral Small 4: —

Math benchmarks
BenchmarkGLM-5.3Mistral Small 4
FrontierMath (Tiers 1-3)68.8%—
FrontierMath Tier 429.3%—
OTIS Mock AIME 2024-202591.1%—
ProofBench49%—
LMArena Math1489—

Knowledge Not comparable

GLM-5.3: 58.3 (#37), Mistral Small 4: —

Knowledge benchmarks
BenchmarkGLM-5.3Mistral Small 4
GPQA Diamond90.9%—
SimpleQA Verified41%—
LMArena Expert1516—

Multilingual Not comparable

GLM-5.3: 55.7 (#28), Mistral Small 4: —

Multilingual benchmarks
BenchmarkGLM-5.3Mistral Small 4
LMArena Non-English1457—
LMArena Chinese1528—
LMArena French1499—
LMArena German1499—
LMArena Japanese1453—
LMArena Korean1472—
LMArena Russian1463—
LMArena Spanish1460—

Instruction Following Not comparable

GLM-5.3: 77.5 (#23), Mistral Small 4: —

Instruction Following benchmarks
BenchmarkGLM-5.3Mistral Small 4
LMArena Instruction Following1477—

Long Context Not comparable

GLM-5.3: 45.4 (#41), Mistral Small 4: —

Long Context benchmarks
BenchmarkGLM-5.3Mistral Small 4
LMArena Longer Query1482—

Writing & Preference Not comparable

GLM-5.3: 75.7 (#6), Mistral Small 4: —

Writing & Preference benchmarks
BenchmarkGLM-5.3Mistral Small 4
LMArena Text1471—
LMArena Creative Writing1457—
EQ-Bench Creative Writing2075—
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.3 better than Mistral Small 4?

GLM-5.3 has enough public results to be ranked (#26); Mistral Small 4 does not yet, so treat this comparison as directional.

Which is cheaper, GLM-5.3 or Mistral Small 4?

Mistral Small 4 is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

Which has the bigger context window?

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

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

0 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Mistral Small 4 has 1.

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