# DeepSeek-V3.2-Speciale vs GLM-4.7-Flash

> DeepSeek-V3.2-Speciale and GLM-4.7-Flash score almost the same on the Noometry Index (39.1 vs 38.4), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-glm-4-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GLM-4.7-Flash in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.1 to 20.2.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- GLM-4.7-Flash accepts more context: 200K tokens versus 128K.

## Snapshot

| | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| Provider | DeepSeek | Z.ai (Zhipu) |
| Noometry Index | 39.1 | 38.4 |
| Rank | 159 | 175 |
| Context | 128K | 200K |
| Input $/M | $0.58 | $0.06 |
| Output $/M | $1.68 | $0.40 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- GLM-4.7-Flash: 40.0 (#133)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1383 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- GLM-4.7-Flash: 20.2 (#224)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1356 |

## Math

- DeepSeek-V3.2-Speciale: —
- GLM-4.7-Flash: 34.4 (#159)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 58.3% |
| LMArena Math | — | 1354 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- GLM-4.7-Flash: 35.4 (#177)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| GPQA Diamond | — | 60.5% |
| Vectara Hallucination Rate | — | 9.3% |
| LMArena Expert | — | 1357 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- GLM-4.7-Flash: 46.8 (#152)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| LMArena Non-English | — | 1331 |
| LMArena Chinese | — | 1403 |
| LMArena French | — | 1332 |
| LMArena German | — | 1336 |
| LMArena Korean | — | 1284 |
| LMArena Russian | — | 1333 |
| LMArena Spanish | — | 1351 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- GLM-4.7-Flash: 70.3 (#162)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1327 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- GLM-4.7-Flash: 40.9 (#143)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| LMArena Longer Query | — | 1345 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- GLM-4.7-Flash: 47.7 (#206)

| Benchmark | DeepSeek-V3.2-Speciale | GLM-4.7-Flash |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1125 |
| LMArena Text | — | 1351 |
| LMArena Creative Writing | — | 1297 |
| LMArena Multi-Turn | — | 1342 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than GLM-4.7-Flash?

DeepSeek-V3.2-Speciale and GLM-4.7-Flash score almost the same on the Noometry Index (39.1 vs 38.4), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.2-Speciale or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or GLM-4.7-Flash better for coding?

They score almost the same on coding (39.9 vs 40.0); test both on your own repository before choosing.

### Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and GLM-4.7-Flash share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GLM-4.7-Flash has 21.