Model comparison
Chatgpt 4o Latest 20250326 vs GLM-5.3-Flash
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 0 categories and GLM-5.3-Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 39.2.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | GLM-5.3-Flash | |
|---|---|---|
| Provider | OpenAI | Z.ai (Zhipu) |
| Noometry Index | 43.8 | 51.8 |
| Released | — | 2026-08-20 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 21 | 40 |
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Category by category
Coding GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 41.6 (#122), GLM-5.3-Flash: 53.1 (#31)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Coding | 1413 | 1508 |
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| CursorBench | — | 36.8% |
| LMArena WebDev | — | 1609 |
| FrontierSWE | — | 18.1% |
| SciCode | — | 51.6% |
| ALE-Bench | — | 303.55 |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, GLM-5.3-Flash: 34.2 (#47)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| GDP.pdf | — | 14% |
Reasoning GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 33.8 (#71), GLM-5.3-Flash: 48.0 (#42)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1491 |
| ARC-AGI-2 | — | 65.8% |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | — | 91% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.88 |
Math GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 38.6 (#134), GLM-5.3-Flash: 53.3 (#47)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Math | 1407 | 1500 |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |
| ProofBench | — | 21% |
Knowledge GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 39.2 (#137), GLM-5.3-Flash: 58.4 (#36)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Expert | 1401 | 1513 |
| GPQA Diamond | — | 90.2% |
| Confabulations | 16.6% | — |
Multimodal GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 39.6 (#58), GLM-5.3-Flash: 42.8 (#27)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | 1243 | 1296 |
Multilingual GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 52.9 (#76), GLM-5.3-Flash: 56.0 (#25)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | 1419 | 1462 |
| LMArena Chinese | 1457 | 1527 |
| LMArena French | 1446 | 1496 |
| LMArena German | 1423 | 1470 |
| LMArena Japanese | 1405 | 1429 |
| LMArena Korean | 1396 | 1446 |
| LMArena Russian | 1429 | 1469 |
| LMArena Spanish | 1434 | 1471 |
Instruction Following GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 74.0 (#107), GLM-5.3-Flash: 77.5 (#20)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | 1403 | 1478 |
Long Context GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 43.1 (#107), GLM-5.3-Flash: 45.4 (#39)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | 1413 | 1482 |
Writing & Preference GLM-5.3-Flash leads
Chatgpt 4o Latest 20250326: 62.6 (#72), GLM-5.3-Flash: 65.3 (#50)
| Benchmark | Chatgpt 4o Latest 20250326 | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | 1429 | 1471 |
| LMArena Creative Writing | 1405 | 1442 |
| LMArena Multi-Turn | 1454 | 1467 |
| EQ-Bench Creative Writing | 1501 | — |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than GLM-5.3-Flash?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 43.8 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or GLM-5.3-Flash better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 41.6 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and GLM-5.3-Flash share?
18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and GLM-5.3-Flash has 40.