# GLM-5.3 vs GPT-6 Luna

> GLM-5.3 is the stronger model overall, scoring 54.6 to 45.1 on the Noometry Index. GPT-6 Luna costs 11× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-gpt-6-luna
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-5.3 scores higher in 8 categories and GPT-6 Luna in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.1 to 35.6.
- The biggest single-benchmark swing is NYT Connections (extended): 74.2% for GLM-5.3 and 68.7% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.3.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1M.
- GLM-5.3 has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 54.6 | 45.1 |
| Rank | 25 | 65 |
| Context | 1M | 1.05M |
| Input $/M | $1.40 | $0.10 |
| Output $/M | $4.40 | $0.50 |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3: 59.0 (#12)
- GPT-6 Luna: 54.7 (#24)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| DeepSWE | 69% | 66.6% |
| FrontierCode | 40.1% | 42.4% |
| LMArena WebDev | 1623 | 1583 |
| LMArena Coding | 1499 | 1448 |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.3 (#34)
- GPT-6 Luna: —

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 45.2 (#42)
- GPT-6 Luna: 31.7 (#68)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| NYT Connections (extended) | 74.2% | 68.7% |
| LMArena Hard Prompts | 1491 | 1415 |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 155.56 | — |

## Math

- GLM-5.3: 62.1 (#27)
- GPT-6 Luna: 35.6 (#140)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1493 | 1396 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 91.1% | — |
| ProofBench | 49% | — |

## Knowledge

- GLM-5.3: 58.3 (#34)
- GPT-6 Luna: 40.1 (#110)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1512 | 1458 |
| GPQA Diamond | 90.9% | — |
| SimpleQA Verified | 41% | — |

## Multimodal

- GLM-5.3: —
- GPT-6 Luna: 42.0 (#27)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| Furniture Assembly | — | 44.2% |

## Multilingual

- GLM-5.3: 55.9 (#27)
- GPT-6 Luna: 51.0 (#111)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1457 | 1390 |
| LMArena Chinese | 1523 | 1425 |
| LMArena Russian | 1460 | 1392 |
| LMArena Spanish | 1444 | 1416 |
| LMArena French | 1499 | — |
| LMArena German | 1505 | — |
| LMArena Japanese | 1438 | — |
| LMArena Korean | 1478 | — |

## Instruction Following

- GLM-5.3: 77.8 (#15)
- GPT-6 Luna: 74.7 (#85)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1481 | 1414 |

## Long Context

- GLM-5.3: 45.5 (#32)
- GPT-6 Luna: 43.3 (#95)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1485 | 1417 |

## Writing & Preference

- GLM-5.3: 75.9 (#6)
- GPT-6 Luna: 58.4 (#115)

| Benchmark | GLM-5.3 | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1473 | 1392 |
| LMArena Creative Writing | 1459 | 1357 |
| LMArena Multi-Turn | 1473 | 1400 |
| EQ-Bench Creative Writing | 2075 | — |

## FAQ

### Is GLM-5.3 better than GPT-6 Luna?

GLM-5.3 is the stronger model overall, scoring 54.6 to 45.1 on the Noometry Index. GPT-6 Luna costs 11× less per token, which makes it the better buy when GLM-5.3's lead doesn't matter for your workload.

### Which is cheaper, GLM-5.3 or GPT-6 Luna?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; GLM-5.3 lists at $1.40 and $4.40.

### Is GLM-5.3 or GPT-6 Luna better for coding?

GLM-5.3 scores higher on coding benchmarks: 59.0 versus 54.7 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 1M.

### How many benchmarks do GLM-5.3 and GPT-6 Luna share?

17 benchmarks have published results for both models. GLM-5.3 has 41 scored results on Noometry and GPT-6 Luna has 18.