# GLM-5 vs GPT-5.5 Instant

> GLM-5 is the stronger model overall, scoring 45.9 to 42.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-vs-gpt-5-5-instant
- Last updated: 2026-10-10
- Shared benchmarks: 21

## 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; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5 leads 44.8 to 26.1.
- 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.

## Snapshot

| | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 45.9 | 42.5 |
| Rank | 59 | 99 |
| Context | 205K | — |
| Input $/M | $1 | — |
| Output $/M | $3.20 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5: 49.0 (#47)
- GPT-5.5 Instant: 43.7 (#73)

| 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

- GLM-5: 30.9 (#65)
- 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: 27.6 (#100)
- GPT-5.5 Instant: 24.2 (#149)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| Chess Puzzles | 10% | 12% |
| LMArena Hard Prompts | 1451 | 1426 |
| Epoch Capabilities Index | 145.84 | 142.48 |
| 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: 44.8 (#66)
- GPT-5.5 Instant: 26.1 (#241)

| 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: 52.2 (#59)
- GPT-5.5 Instant: 48.9 (#68)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 87.8% | 82.5% |
| LMArena Expert | 1454 | 1409 |
| Vectara Hallucination Rate | 10.1% | — |

## Multimodal

- GLM-5: —
- GPT-5.5 Instant: 39.3 (#48)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | — | 1250 |
| LMArena Document | — | 1403 |

## Multilingual

- GLM-5: 53.9 (#57)
- GPT-5.5 Instant: 53.0 (#76)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1430 | 1417 |
| LMArena Chinese | 1511 | 1457 |
| LMArena French | 1455 | 1428 |
| LMArena German | 1445 | 1410 |
| LMArena Japanese | 1416 | 1408 |
| LMArena Korean | 1421 | 1393 |
| LMArena Russian | 1436 | 1430 |
| LMArena Spanish | 1452 | 1430 |

## Instruction Following

- GLM-5: 75.4 (#64)
- GPT-5.5 Instant: 74.4 (#94)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1427 | 1407 |

## Long Context

- GLM-5: 44.6 (#58)
- GPT-5.5 Instant: 43.4 (#92)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1446 | 1422 |
| CL-bench | 18.7% | — |

## Writing & Preference

- GLM-5: 66.2 (#38)
- GPT-5.5 Instant: 62.0 (#81)

| Benchmark | GLM-5 | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1446 | 1419 |
| LMArena Creative Writing | 1438 | 1420 |
| LMArena Multi-Turn | 1456 | 1434 |
| EQ-Bench Creative Writing | 1601 | — |

## FAQ

### Is GLM-5 better than GPT-5.5 Instant?

GLM-5 is the stronger model overall, scoring 45.9 to 42.5 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 43.7 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.