# GLM-5.3-Flash vs Llama 3-70B

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-llama-3-70b
- 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 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.3-Flash leads 53.1 to 12.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 4.3% for Llama 3-70B.

## Snapshot

| | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 49.6 | 28.5 |
| Rank | 45 | 317 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Llama 3-70B: 35.3 (#215)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1506 | 1206 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 303.55 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Llama 3-70B: 20.9 (#132)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| APEX-Agents | 52.8% | — |
| Cybench | — | 5% |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Llama 3-70B: 17.4 (#284)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1195 |
| Epoch Capabilities Index | 151.9 | 122.91 |
| Kagi LLM Benchmark | — | 35.1% |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| DTBench | — | 54.2% |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Llama 3-70B: 12.0 (#299)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 4.3% |
| LMArena Math | 1499 | 1218 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| MATH Level 5 | — | 22.6% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Llama 3-70B: 20.8 (#272)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 90.2% | 40.6% |
| LMArena Expert | 1512 | 1149 |
| MMLU | — | 79.3% |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Llama 3-70B: —

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Llama 3-70B: 33.8 (#246)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1462 | 1142 |
| LMArena Chinese | 1529 | 1114 |
| LMArena French | 1495 | 1231 |
| LMArena German | 1457 | 1169 |
| LMArena Japanese | 1420 | 1017 |
| LMArena Korean | 1443 | 1017 |
| LMArena Russian | 1472 | 1159 |
| LMArena Spanish | 1471 | 1241 |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Llama 3-70B: 62.8 (#233)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1480 | 1194 |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Llama 3-70B: 35.6 (#235)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1479 | 1174 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Llama 3-70B: 43.0 (#225)

| Benchmark | GLM-5.3-Flash | Llama 3-70B |
|---|---|---|
| LMArena Text | 1471 | 1221 |
| LMArena Creative Writing | 1440 | 1210 |
| LMArena Multi-Turn | 1471 | 1223 |

## FAQ

### Is GLM-5.3-Flash better than Llama 3-70B?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 28.5 on the Noometry Index.

### Is GLM-5.3-Flash or Llama 3-70B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 35.3 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Llama 3-70B share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Llama 3-70B has 31.