# GLM-5.3 vs Llama 3.2 90B

> GLM-5.3 is the stronger model overall, scoring 54.8 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-vs-llama-3-2-90b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. GLM-5.3 scores higher in 4 categories and Llama 3.2 90B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3 leads 62.3 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 91.1% for GLM-5.3 and 2.6% for Llama 3.2 90B.

## Snapshot

| | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 54.8 | 27.5 |
| Rank | 26 | 331 |
| Context | 1M | — |
| Input $/M | $1.40 | — |
| Output $/M | $4.40 | — |
| Weights | Open | Open |

## Coding

- GLM-5.3: 59.5 (#14)
- Llama 3.2 90B: —

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| CursorBench | 42.6% | — |
| LMArena WebDev | 1622 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| WeirdML | 75.4% | — |
| LMArena Coding | 1496 | — |
| ALE-Bench | 1,317 | — |

## Agentic & Tool Use

- GLM-5.3: 36.4 (#38)
- Llama 3.2 90B: 30.0 (#80)

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| APEX-Agents | 56.6% | — |
| BALROG | — | 27.3% |
| Vending-Bench 2 | 8,164 | — |

## Reasoning

- GLM-5.3: 46.1 (#46)
- Llama 3.2 90B: 21.7 (#217)

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 155.61 | 125.5 |
| NYT Connections (extended) | 74.2% | — |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1489 | — |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3: 62.3 (#33)
- Llama 3.2 90B: 11.1 (#308)

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.1% | 2.6% |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 49% | — |
| LMArena Math | 1489 | — |
| MATH Level 5 | — | 39.4% |

## Knowledge

- GLM-5.3: 58.3 (#37)
- Llama 3.2 90B: 21.7 (#274)

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 90.9% | 41% |
| SimpleQA Verified | 41% | — |
| LMArena Expert | 1516 | — |
| MMLU | — | 80.3% |

## Multimodal

- GLM-5.3: —
- Llama 3.2 90B: 25.4 (#124)

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |

## Multilingual

- GLM-5.3: 55.7 (#28)
- Llama 3.2 90B: —

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1457 | — |
| LMArena Chinese | 1528 | — |
| LMArena French | 1499 | — |
| LMArena German | 1499 | — |
| LMArena Japanese | 1453 | — |
| LMArena Korean | 1472 | — |
| LMArena Russian | 1463 | — |
| LMArena Spanish | 1460 | — |

## Instruction Following

- GLM-5.3: 77.5 (#23)
- Llama 3.2 90B: —

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1477 | — |

## Long Context

- GLM-5.3: 45.4 (#41)
- Llama 3.2 90B: —

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1482 | — |

## Writing & Preference

- GLM-5.3: 75.7 (#6)
- Llama 3.2 90B: —

| Benchmark | GLM-5.3 | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1471 | — |
| LMArena Creative Writing | 1457 | — |
| EQ-Bench Creative Writing | 2075 | — |
| LMArena Multi-Turn | 1472 | — |

## FAQ

### Is GLM-5.3 better than Llama 3.2 90B?

GLM-5.3 is the stronger model overall, scoring 54.8 to 27.5 on the Noometry Index.

### How many benchmarks do GLM-5.3 and Llama 3.2 90B share?

3 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and Llama 3.2 90B has 9.