# Chatgpt 4o Latest 20250326 vs GLM-5.2

> GLM-5.2 is the stronger model overall, scoring 51.1 to 43.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/chatgpt-4o-vs-glm-5-2
- Last updated: 2026-10-11
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 0 categories and GLM-5.2 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.2 leads 57.1 to 39.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 75% for Chatgpt 4o Latest 20250326 and 62.6% for GLM-5.2.
- GLM-5.2 has downloadable open weights; the other is API-only.

## Snapshot

| | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| Provider | OpenAI | Z.ai (Zhipu) |
| Noometry Index | 43.8 | 51.1 |
| Rank | 82 | 44 |
| Context | — | 1M |
| Input $/M | — | $1.40 |
| Output $/M | — | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Chatgpt 4o Latest 20250326: 41.6 (#122)
- GLM-5.2: 51.3 (#41)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Coding | 1413 | 1485 |
| SWE-bench Verified | — | 78.7% |
| DeepSWE | — | 43.8% |
| FrontierCode | — | 24.5% |
| LMArena WebDev | — | 1603 |
| SciCode | — | 50.5% |
| WeirdML | — | 70.1% |
| ALE-Bench | — | 1,047 |

## Agentic & Tool Use

- Chatgpt 4o Latest 20250326: —
- GLM-5.2: 32.4 (#63)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| APEX-Agents | — | 45.2% |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 31.7% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 8,314 |

## Reasoning

- Chatgpt 4o Latest 20250326: 33.8 (#71)
- GLM-5.2: 42.3 (#52)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| Kagi LLM Benchmark | 75% | 62.6% |
| LMArena Hard Prompts | 1424 | 1480 |
| ARC-AGI-2 | — | 22.8% |
| SimpleBench | — | 58.8% |
| NYT Connections (extended) | — | 74.3% |
| ARC-AGI-1 | — | 77% |
| CritPt | — | 20.9% |
| Chess Puzzles | — | 21% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 93.6% |
| LMCA | — | 45.8% |
| Surface Evolver Bench | — | 55.6% |
| Epoch Capabilities Index | — | 151.78 |

## Math

- Chatgpt 4o Latest 20250326: 38.6 (#134)
- GLM-5.2: 55.7 (#43)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Math | 1407 | 1482 |
| FrontierMath (Tiers 1-3) | — | 59.2% |
| FrontierMath Tier 4 | — | 29.3% |
| MathArena Final-Answer Competitions | — | 67.6% |
| OTIS Mock AIME 2024-2025 | — | 86.4% |
| ProofBench | — | 35% |

## Knowledge

- Chatgpt 4o Latest 20250326: 39.2 (#137)
- GLM-5.2: 57.1 (#40)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Expert | 1401 | 1486 |
| GPQA Diamond | — | 91.9% |
| SimpleQA Verified | — | 34.2% |
| Confabulations | 16.6% | — |

## Multimodal

- Chatgpt 4o Latest 20250326: 39.6 (#58)
- GLM-5.2: —

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Vision | 1243 | — |

## Multilingual

- Chatgpt 4o Latest 20250326: 52.9 (#76)
- GLM-5.2: 55.8 (#26)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Non-English | 1419 | 1459 |
| LMArena Chinese | 1457 | 1519 |
| LMArena French | 1446 | 1479 |
| LMArena German | 1423 | 1468 |
| LMArena Japanese | 1405 | 1451 |
| LMArena Korean | 1396 | 1445 |
| LMArena Russian | 1429 | 1466 |
| LMArena Spanish | 1434 | 1477 |

## Instruction Following

- Chatgpt 4o Latest 20250326: 74.0 (#107)
- GLM-5.2: 76.9 (#34)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Instruction Following | 1403 | 1465 |

## Long Context

- Chatgpt 4o Latest 20250326: 43.1 (#107)
- GLM-5.2: 45.3 (#43)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Longer Query | 1413 | 1479 |

## Writing & Preference

- Chatgpt 4o Latest 20250326: 62.6 (#72)
- GLM-5.2: 70.4 (#21)

| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.2 |
|---|---|---|
| LMArena Text | 1429 | 1470 |
| LMArena Creative Writing | 1405 | 1462 |
| EQ-Bench Creative Writing | 1501 | 1757 |
| LMArena Multi-Turn | 1454 | 1469 |
| EQ-Bench 4 | — | 1222 |

## FAQ

### Is Chatgpt 4o Latest 20250326 better than GLM-5.2?

GLM-5.2 is the stronger model overall, scoring 51.1 to 43.8 on the Noometry Index.

### Is Chatgpt 4o Latest 20250326 or GLM-5.2 better for coding?

GLM-5.2 scores higher on coding benchmarks: 51.3 versus 41.6 in the Noometry coding category.

### How many benchmarks do Chatgpt 4o Latest 20250326 and GLM-5.2 share?

19 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and GLM-5.2 has 51.