# GLM-5.3-Flash vs Olmo 3.1 32b Think

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/glm-5-3-flash-vs-olmo-3-1-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Olmo 3.1 32b Think 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 35.0.

## Snapshot

| | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| Provider | Z.ai (Zhipu) | Allen Institute for AI (Ai2) |
| Noometry Index | 49.6 | 37.3 |
| Rank | 45 | 191 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.50 | — |
| Weights | Open | Open |

## Coding

- GLM-5.3-Flash: 53.7 (#26)
- Olmo 3.1 32b Think: 37.1 (#186)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1506 | 1292 |
| 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)
- Olmo 3.1 32b Think: —

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| APEX-Agents | 52.8% | — |
| GDP.pdf | 14% | — |

## Reasoning

- GLM-5.3-Flash: 31.7 (#69)
- Olmo 3.1 32b Think: 24.1 (#151)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1490 | 1272 |
| CritPt | 15.4% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| Surface Evolver Bench | 52.5% | — |
| Bench to the Future 3 | 0.15 | — |
| Epoch Capabilities Index | 151.9 | — |

## Math

- GLM-5.3-Flash: 53.1 (#38)
- Olmo 3.1 32b Think: 33.6 (#170)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1499 | 1305 |
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 93.9% | — |
| ProofBench | 21% | — |

## Knowledge

- GLM-5.3-Flash: 58.4 (#33)
- Olmo 3.1 32b Think: 35.0 (#178)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1512 | 1294 |
| GPQA Diamond | 90.2% | — |

## Multimodal

- GLM-5.3-Flash: 42.6 (#25)
- Olmo 3.1 32b Think: —

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1304 | — |

## Multilingual

- GLM-5.3-Flash: 56.2 (#24)
- Olmo 3.1 32b Think: 38.3 (#226)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1462 | 1210 |
| LMArena Chinese | 1529 | 1241 |
| LMArena French | 1495 | 1262 |
| LMArena German | 1457 | 1260 |
| LMArena Russian | 1472 | 1193 |
| LMArena Spanish | 1471 | 1288 |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1443 | — |

## Instruction Following

- GLM-5.3-Flash: 77.8 (#17)
- Olmo 3.1 32b Think: 65.8 (#213)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1480 | 1246 |

## Long Context

- GLM-5.3-Flash: 45.3 (#41)
- Olmo 3.1 32b Think: 38.6 (#190)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1479 | 1272 |

## Writing & Preference

- GLM-5.3-Flash: 65.4 (#49)
- Olmo 3.1 32b Think: 46.4 (#215)

| Benchmark | GLM-5.3-Flash | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1471 | 1271 |
| LMArena Creative Writing | 1440 | 1226 |
| LMArena Multi-Turn | 1471 | 1252 |

## FAQ

### Is GLM-5.3-Flash better than Olmo 3.1 32b Think?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 37.3 on the Noometry Index.

### Is GLM-5.3-Flash or Olmo 3.1 32b Think better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 37.1 in the Noometry coding category.

### How many benchmarks do GLM-5.3-Flash and Olmo 3.1 32b Think share?

15 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Olmo 3.1 32b Think has 15.