Model comparison
GLM-5.3-Flash vs GPT-5.5 Instant
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 42.7 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. GLM-5.3-Flash scores higher in 9 categories and GPT-5.5 Instant in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3-Flash leads 53.3 to 26.5.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GLM-5.3-Flash and 26.3% for GPT-5.5 Instant.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3-Flash | GPT-5.5 Instant | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 51.8 | 42.7 |
| Released | 2026-08-20 | 2026-05-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 40 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.3-Flash leads
GLM-5.3-Flash: 53.1 (#31), GPT-5.5 Instant: 44.3 (#74)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| SciCode | 51.6% | 48.6% |
| LMArena Coding | 1508 | 1433 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| CursorBench | 36.8% | — |
| LMArena WebDev | 1609 | — |
| FrontierSWE | 18.1% | — |
| ALE-Bench | 303.55 | — |
Agentic & Tool Use Not comparable
GLM-5.3-Flash: 34.2 (#47), GPT-5.5 Instant: —
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |
Reasoning GLM-5.3-Flash leads
GLM-5.3-Flash: 48.0 (#42), GPT-5.5 Instant: 24.9 (#155)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| CritPt | 15.4% | 0% |
| Chess Puzzles | 14% | 12% |
| LMArena Hard Prompts | 1491 | 1426 |
| Epoch Capabilities Index | 151.88 | 142.52 |
| ARC-AGI-2 | 65.8% | — |
| ARC-AGI-1 | 91% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
Math GLM-5.3-Flash leads
GLM-5.3-Flash: 53.3 (#47), GPT-5.5 Instant: 26.5 (#259)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | 26.3% |
| FrontierMath Tier 4 | 17.1% | 2.4% |
| OTIS Mock AIME 2024-2025 | 93.9% | 68.1% |
| LMArena Math | 1500 | 1420 |
| ProofBench | 21% | — |
Knowledge GLM-5.3-Flash leads
GLM-5.3-Flash: 58.4 (#36), GPT-5.5 Instant: 48.9 (#74)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 90.2% | 82.5% |
| LMArena Expert | 1513 | 1409 |
Multimodal GLM-5.3-Flash leads
GLM-5.3-Flash: 42.8 (#27), GPT-5.5 Instant: 40.0 (#52)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | 1296 | 1250 |
| LMArena Document | — | 1403 |
Multilingual GLM-5.3-Flash leads
GLM-5.3-Flash: 56.0 (#25), GPT-5.5 Instant: 52.8 (#80)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1462 | 1417 |
| LMArena Chinese | 1527 | 1456 |
| LMArena French | 1496 | 1428 |
| LMArena German | 1470 | 1411 |
| LMArena Japanese | 1429 | 1408 |
| LMArena Korean | 1446 | 1392 |
| LMArena Russian | 1469 | 1431 |
| LMArena Spanish | 1471 | 1429 |
Instruction Following GLM-5.3-Flash leads
GLM-5.3-Flash: 77.5 (#20), GPT-5.5 Instant: 74.2 (#100)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1478 | 1406 |
Long Context GLM-5.3-Flash leads
GLM-5.3-Flash: 45.4 (#39), GPT-5.5 Instant: 43.4 (#96)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1482 | 1422 |
Writing & Preference GLM-5.3-Flash leads
GLM-5.3-Flash: 65.3 (#50), GPT-5.5 Instant: 61.8 (#85)
| Benchmark | GLM-5.3-Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1471 | 1419 |
| LMArena Creative Writing | 1442 | 1419 |
| LMArena Multi-Turn | 1467 | 1433 |
Frequently asked questions
Is GLM-5.3-Flash better than GPT-5.5 Instant?
GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 42.7 on the Noometry Index.
Is GLM-5.3-Flash or GPT-5.5 Instant better for coding?
GLM-5.3-Flash scores higher on coding benchmarks: 53.1 versus 44.3 in the Noometry coding category.
How many benchmarks do GLM-5.3-Flash and GPT-5.5 Instant share?
26 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and GPT-5.5 Instant has 27.