# DeepSeek-V3.2-Speciale vs GLM-5.3-Flash

> GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-glm-5-3-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where GLM-5.3-Flash leads 65.4 to 46.1.
- GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- GLM-5.3-Flash accepts more context: 1M tokens versus 128K.

## Snapshot

| | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 39.1 | 49.6 |
| Rank | 159 | 45 |
| Context | 128K | 1M |
| Input $/M | $0.58 | $0.15 |
| Output $/M | $1.68 | $0.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- GLM-5.3-Flash: 53.7 (#26)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| DeepSWE | — | 63.4% |
| FrontierCode | — | 31.8% |
| LMArena WebDev | — | 1614 |
| SciCode | — | 51.6% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1506 |
| ALE-Bench | — | 303.55 |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 34.3 (#41)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| APEX-Agents | — | 52.8% |
| GDP.pdf | — | 14% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- GLM-5.3-Flash: 31.7 (#69)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| SimpleBench | 52.6% | — |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 14% |
| LMArena Hard Prompts | — | 1490 |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 52.5% |
| Bench to the Future 3 | — | 0.15 |
| Epoch Capabilities Index | — | 151.9 |

## Math

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 53.1 (#38)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 93.9% |
| ProofBench | — | 21% |
| LMArena Math | — | 1499 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 58.4 (#33)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| GPQA Diamond | — | 90.2% |
| LMArena Expert | — | 1512 |

## Multimodal

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 42.6 (#25)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 56.2 (#24)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| LMArena Non-English | — | 1462 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1495 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1420 |
| LMArena Korean | — | 1443 |
| LMArena Russian | — | 1472 |
| LMArena Spanish | — | 1471 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 77.8 (#17)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1480 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- GLM-5.3-Flash: 45.3 (#41)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| LMArena Longer Query | — | 1479 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- GLM-5.3-Flash: 65.4 (#49)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-5.3-Flash |
|---|---|---|
| LMArena Text | — | 1471 |
| LMArena Creative Writing | — | 1440 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1471 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than GLM-5.3-Flash?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 39.1 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.2-Speciale or GLM-5.3-Flash?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or GLM-5.3-Flash better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 39.9 in the Noometry coding category.

### Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and GLM-5.3-Flash share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GLM-5.3-Flash has 36.