# GLM-5.3 vs GPT-5.4 mini

> GLM-5.3 is the stronger model overall, scoring 54.6 to 44.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-gpt-5-4-mini
- Last updated: 2026-10-10
- Shared benchmarks: 36

## Summary

- They share 36 benchmarks with published results for both. GLM-5.3 scores higher in 9 categories and GPT-5.4 mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.1 to 45.4.
- The biggest single-benchmark swing is ProofBench: 49% for GLM-5.3 and 21% for GPT-5.4 mini.
- GPT-5.4 mini is cheaper at $0.75 / $4.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- GLM-5.3 accepts more context: 1M tokens versus 400K.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 54.6 | 44.8 |
| Rank | 25 | 69 |
| Context | 1M | 400K |
| Input $/M | $1.40 | $0.75 |
| Output $/M | $4.40 | $4.50 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.0 (#12)
- GPT-5.4 mini: 45.0 (#67)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| FrontierCode | 40.1% | 27% |
| LMArena WebDev | 1623 | 1397 |
| SciCode | 59% | 49.9% |
| WeirdML | 75.4% | 60.3% |
| LMArena Coding | 1499 | 1438 |
| ALE-Bench | 1,317 | 1,189 |
| DeepSWE | 69% | — |
| FrontierSWE | 30.2% | — |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- GPT-5.4 mini: 29.6 (#74)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| APEX-Agents | 56.6% | — |
| DeepResearch Bench | — | 36.3% |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- GPT-5.4 mini: 30.3 (#77)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| NYT Connections (extended) | 74.2% | 61.8% |
| CritPt | 19.1% | 10% |
| Chess Puzzles | 21% | 24% |
| LMArena Hard Prompts | 1491 | 1424 |
| Mystery Game Puzzles | 33% | 11% |
| DTBench | 87.7% | 80% |
| LMCA | 55.5% | 40.8% |
| Epoch Capabilities Index | 155.56 | 148.83 |
| ARC-AGI-2 | — | 18.9% |
| Kagi LLM Benchmark | — | 37.9% |
| ARC-AGI-1 | — | 63.7% |
| Thematic Generalization | — | 61.7% |
| Bench to the Future 3 | 0.15 | — |
| ForecastBench | — | 57 |

## Math

- GLM-5.3: 62.1 (#27)
- GPT-5.4 mini: 45.4 (#63)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.8% | 51.2% |
| FrontierMath Tier 4 | 29.3% | 9.8% |
| OTIS Mock AIME 2024-2025 | 91.1% | 88.9% |
| ProofBench | 49% | 21% |
| LMArena Math | 1493 | 1418 |
| FrontierMath (Feb 2025 set) | — | 28.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- GLM-5.3: 58.3 (#34)
- GPT-5.4 mini: 51.4 (#62)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| GPQA Diamond | 90.9% | 86.9% |
| SimpleQA Verified | 41% | 29.4% |
| LMArena Expert | 1512 | 1434 |
| Vectara Hallucination Rate | — | 5.5% |

## Multimodal

- GLM-5.3: —
- GPT-5.4 mini: 39.0 (#51)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| LMArena Vision | — | 1245 |

## Multilingual

- GLM-5.3: 55.9 (#27)
- GPT-5.4 mini: 52.1 (#94)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| LMArena Non-English | 1457 | 1405 |
| LMArena Chinese | 1523 | 1446 |
| LMArena French | 1499 | 1440 |
| LMArena German | 1505 | 1407 |
| LMArena Japanese | 1438 | 1375 |
| LMArena Korean | 1478 | 1369 |
| LMArena Russian | 1460 | 1417 |
| LMArena Spanish | 1444 | 1403 |

## Instruction Following

- GLM-5.3: 77.8 (#15)
- GPT-5.4 mini: 74.3 (#99)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| LMArena Instruction Following | 1481 | 1405 |

## Long Context

- GLM-5.3: 45.5 (#32)
- GPT-5.4 mini: 42.9 (#107)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| LMArena Longer Query | 1485 | 1407 |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- GPT-5.4 mini: 64.2 (#56)

| Benchmark | GLM-5.3 | GPT-5.4 mini |
|---|---|---|
| LMArena Text | 1473 | 1411 |
| LMArena Creative Writing | 1459 | 1370 |
| EQ-Bench Creative Writing | 2075 | 1665 |
| LMArena Multi-Turn | 1473 | 1429 |

## FAQ

### Is GLM-5.3 better than GPT-5.4 mini?

GLM-5.3 is the stronger model overall, scoring 54.6 to 44.8 on the Noometry Index.

### Which is cheaper, GLM-5.3 or GPT-5.4 mini?

GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

### Is GLM-5.3 or GPT-5.4 mini better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 45.0 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3 does, with 1M tokens against 400K.

### How many benchmarks do GLM-5.3 and GPT-5.4 mini share?

36 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and GPT-5.4 mini has 46.