# GLM-5.3-Flash vs Llama 2-70B

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-llama-2-70b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 0% for Llama 2-70B.

## Snapshot

| | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 49.6 | 24.1 |
| Rank | 45 | 343 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Llama 2-70B: 30.8 (#281)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1506 | 1079 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Llama 2-70B: —

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Llama 2-70B: 13.7 (#324)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1073 |
| Epoch Capabilities Index | 151.9 | 113.59 |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | — | 41.6% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Llama 2-70B: 7.5 (#320)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 0% |
| LMArena Math | 1499 | 1091 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Llama 2-70B: 7.4 (#305)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| GPQA Diamond | 90.2% | 26.3% |
| LMArena Expert | 1512 | 1039 |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Llama 2-70B: —

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Llama 2-70B: 27.9 (#269)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1462 | 1045 |
| LMArena Chinese | 1529 | 994 |
| LMArena French | 1495 | 1089 |
| LMArena German | 1457 | 1041 |
| LMArena Japanese | 1420 | 927 |
| LMArena Korean | 1443 | 964 |
| LMArena Russian | 1472 | 1083 |
| LMArena Spanish | 1471 | 1142 |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Llama 2-70B: 55.1 (#273)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1480 | 1071 |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Llama 2-70B: 32.2 (#265)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1479 | 1062 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Llama 2-70B: 32.5 (#274)

| Benchmark | GLM-5.3-Flash | Llama 2-70B |
|---|---|---|
| LMArena Text | 1471 | 1115 |
| LMArena Creative Writing | 1440 | 1075 |
| LMArena Multi-Turn | 1471 | 1088 |

## FAQ

### Is GLM-5.3-Flash better than Llama 2-70B?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 24.1 on the Noometry Index.

### Is GLM-5.3-Flash or Llama 2-70B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 30.8 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Llama 2-70B share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Llama 2-70B has 35.