# GLM-5.3-Flash vs Grok 3

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-grok-3
- 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 Grok 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3-Flash leads 31.7 to 13.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.9% for GLM-5.3-Flash and 55.6% for Grok 3.
- GLM-5.3-Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 49.6 | 39.6 |
| Rank | 45 | 150 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Proprietary |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Grok 3: 41.5 (#113)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Coding | 1506 | 1432 |
| DeepSWE | 63.4% | — |
| FrontierCode | 31.8% | — |
| Aider Polyglot | — | 53.3% |
| LMArena WebDev | 1614 | — |
| SciCode | 51.6% | — |
| WeirdML | — | 37.2% |
| ALE-Bench | 303.55 | — |

## Agentic & Tool Use

- GLM-5.3-Flash: 34.3 (#41)
- Grok 3: 30.2 (#69)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| APEX-Agents | 52.8% | — |
| BALROG | — | 29.5% |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Grok 3: 13.8 (#322)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1433 |
| Epoch Capabilities Index | 151.9 | 138.34 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Grok 3: 36.2 (#122)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.9% | 55.6% |
| LMArena Math | 1499 | 1390 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 46.4% |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Grok 3: 46.0 (#76)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| GPQA Diamond | 90.2% | 75.8% |
| LMArena Expert | 1512 | 1420 |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Grok 3: —

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Grok 3: 52.5 (#81)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Non-English | 1462 | 1411 |
| LMArena Chinese | 1529 | 1448 |
| LMArena French | 1495 | 1460 |
| LMArena German | 1457 | 1431 |
| LMArena Japanese | 1420 | 1389 |
| LMArena Korean | 1443 | 1374 |
| LMArena Russian | 1472 | 1416 |
| LMArena Spanish | 1471 | 1417 |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Grok 3: 75.2 (#69)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1480 | 1409 |
| IFEval | — | 88.4% |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Grok 3: 38.7 (#187)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1479 | 1439 |
| Fiction.LiveBench | — | 58.3% |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Grok 3: 56.0 (#136)

| Benchmark | GLM-5.3-Flash | Grok 3 |
|---|---|---|
| LMArena Text | 1471 | 1426 |
| LMArena Creative Writing | 1440 | 1414 |
| LMArena Multi-Turn | 1471 | 1424 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |

## FAQ

### Is GLM-5.3-Flash better than Grok 3?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.6 on the Noometry Index.

### Is GLM-5.3-Flash or Grok 3 better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 41.5 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Grok 3 share?

20 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Grok 3 has 40.