Model comparison
GLM-5.2 vs GPT-5.5 Instant
GLM-5.2 is the stronger model overall, scoring 50.9 to 42.5 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GLM-5.2 scores higher in 8 categories and GPT-5.5 Instant in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.2 leads 55.4 to 26.1.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 59.2% for GLM-5.2 and 26.3% for GPT-5.5 Instant.
- GLM-5.2 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.2 | GPT-5.5 Instant | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 50.9 | 42.5 |
| Released | 2026-06-13 | 2026-05-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 50 | 27 |
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Category by category
Coding GLM-5.2 leads
GLM-5.2: 50.9 (#37), GPT-5.5 Instant: 43.7 (#73)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| SciCode | 50.5% | 48.6% |
| LMArena Coding | 1484 | 1433 |
| SWE-bench Verified | 78.7% | — |
| DeepSWE | 43.8% | — |
| FrontierCode | 24.5% | — |
| LMArena WebDev | 1604 | — |
| WeirdML | 70.1% | — |
| ALE-Bench | 1,047 | — |
Agentic & Tool Use Not comparable
GLM-5.2: 31.6 (#63), GPT-5.5 Instant: —
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 31.7% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 8,314 | — |
Reasoning GLM-5.2 leads
GLM-5.2: 42.1 (#46), GPT-5.5 Instant: 24.2 (#149)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| CritPt | 20.9% | 0% |
| Chess Puzzles | 21% | 12% |
| LMArena Hard Prompts | 1480 | 1426 |
| Epoch Capabilities Index | 151.76 | 142.48 |
| ARC-AGI-2 | 22.8% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 62.6% | — |
| NYT Connections (extended) | 74.3% | — |
| ARC-AGI-1 | 77% | — |
| EBR-Bench | 9.5% | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 93.6% | — |
| LMCA | 45.8% | — |
| Surface Evolver Bench | 55.6% | — |
Math GLM-5.2 leads
GLM-5.2: 55.4 (#35), GPT-5.5 Instant: 26.1 (#241)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.2% | 26.3% |
| FrontierMath Tier 4 | 29.3% | 2.4% |
| OTIS Mock AIME 2024-2025 | 86.4% | 68.1% |
| LMArena Math | 1482 | 1420 |
| MathArena Final-Answer Competitions | 67.6% | — |
| ProofBench | 35% | — |
Knowledge GLM-5.2 leads
GLM-5.2: 57.1 (#36), GPT-5.5 Instant: 48.9 (#68)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 91.9% | 82.5% |
| LMArena Expert | 1484 | 1409 |
| SimpleQA Verified | 34.2% | — |
Multimodal Not comparable
GLM-5.2: —, GPT-5.5 Instant: 39.3 (#48)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | — | 1250 |
| LMArena Document | — | 1403 |
Multilingual GLM-5.2 leads
GLM-5.2: 56.0 (#25), GPT-5.5 Instant: 53.0 (#76)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1459 | 1417 |
| LMArena Chinese | 1518 | 1457 |
| LMArena French | 1476 | 1428 |
| LMArena German | 1470 | 1410 |
| LMArena Japanese | 1451 | 1408 |
| LMArena Korean | 1445 | 1393 |
| LMArena Russian | 1467 | 1430 |
| LMArena Spanish | 1477 | 1430 |
Instruction Following GLM-5.2 leads
GLM-5.2: 77.1 (#32), GPT-5.5 Instant: 74.4 (#94)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1465 | 1407 |
Long Context GLM-5.2 leads
GLM-5.2: 45.3 (#43), GPT-5.5 Instant: 43.4 (#92)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1479 | 1422 |
Writing & Preference GLM-5.2 leads
GLM-5.2: 70.7 (#20), GPT-5.5 Instant: 62.0 (#81)
| Benchmark | GLM-5.2 | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1470 | 1419 |
| LMArena Creative Writing | 1465 | 1420 |
| LMArena Multi-Turn | 1468 | 1434 |
| EQ-Bench Creative Writing | 1757 | — |
| EQ-Bench 4 | 1222 | — |
Frequently asked questions
Is GLM-5.2 better than GPT-5.5 Instant?
GLM-5.2 is the stronger model overall, scoring 50.9 to 42.5 on the Noometry Index.
Is GLM-5.2 or GPT-5.5 Instant better for coding?
GLM-5.2 scores higher on coding benchmarks: 50.9 versus 43.7 in the Noometry coding category.
How many benchmarks do GLM-5.2 and GPT-5.5 Instant share?
25 benchmarks have published results for both models. GLM-5.2 has 50 scored results on Noometry and GPT-5.5 Instant has 27.