Model comparison
GLM-5 vs GPT-5.5 Instant
GLM-5 is the stronger model overall, scoring 46.1 to 42.7 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GLM-5 scores higher in 8 categories and GPT-5.5 Instant in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5 leads 46.4 to 26.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for GLM-5 and 68.1% for GPT-5.5 Instant.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| GLM-5 | GPT-5.5 Instant | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 46.1 | 42.7 |
| Released | 2026-02-11 | 2026-05-05 |
| Weights | Open | Proprietary |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $3.20 | — |
| Results tracked | 45 | 27 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), GPT-5.5 Instant: 44.3 (#74)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Coding | 1461 | 1433 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| SciCode | — | 48.6% |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), GPT-5.5 Instant: —
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), GPT-5.5 Instant: 24.9 (#155)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| Chess Puzzles | 10% | 12% |
| LMArena Hard Prompts | 1452 | 1426 |
| Epoch Capabilities Index | 145.83 | 142.52 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| CritPt | — | 0% |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), GPT-5.5 Instant: 26.5 (#259)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 68.1% |
| LMArena Math | 1440 | 1420 |
| FrontierMath (Tiers 1-3) | — | 26.3% |
| FrontierMath Tier 4 | — | 2.4% |
| MathArena Final-Answer Competitions | 65.7% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), GPT-5.5 Instant: 48.9 (#74)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 87.8% | 82.5% |
| LMArena Expert | 1454 | 1409 |
| Vectara Hallucination Rate | 10.1% | — |
Multimodal Not comparable
GLM-5: —, GPT-5.5 Instant: 40.0 (#52)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | — | 1250 |
| LMArena Document | — | 1403 |
Multilingual Too close to call
GLM-5: 53.7 (#58), GPT-5.5 Instant: 52.8 (#80)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1430 | 1417 |
| LMArena Chinese | 1511 | 1456 |
| LMArena French | 1455 | 1428 |
| LMArena German | 1445 | 1411 |
| LMArena Japanese | 1416 | 1408 |
| LMArena Korean | 1423 | 1392 |
| LMArena Russian | 1436 | 1431 |
| LMArena Spanish | 1454 | 1429 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), GPT-5.5 Instant: 74.2 (#100)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1428 | 1406 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), GPT-5.5 Instant: 43.4 (#96)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1446 | 1422 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), GPT-5.5 Instant: 61.8 (#85)
| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1446 | 1419 |
| LMArena Creative Writing | 1439 | 1419 |
| LMArena Multi-Turn | 1456 | 1433 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than GPT-5.5 Instant?
GLM-5 is the stronger model overall, scoring 46.1 to 42.7 on the Noometry Index.
Is GLM-5 or GPT-5.5 Instant better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 44.3 in the Noometry coding category.
How many benchmarks do GLM-5 and GPT-5.5 Instant share?
21 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and GPT-5.5 Instant has 27.