# DeepSeek-V3.2-Speciale vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-gpt-5-3-chat
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 1 category and GPT-5.3 Chat in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 46.0.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 39.7 | 42.8 |
| Rank | 162 | 109 |
| Context | 128K | 128K |
| Input $/M | $0.58 | $1.75 |
| Output $/M | $1.68 | $14 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- GPT-5.3 Chat: 41.4 (#124)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1408 |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- GPT-5.3 Chat: 28.5 (#102)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1399 |

## Math

- DeepSeek-V3.2-Speciale: —
- GPT-5.3 Chat: 38.2 (#142)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | — | 1389 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- GPT-5.3 Chat: 38.8 (#140)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- GPT-5.3 Chat: 50.3 (#124)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | — | 1382 |
| LMArena Chinese | — | 1432 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- GPT-5.3 Chat: 72.8 (#129)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | — | 1378 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- GPT-5.3 Chat: 42.6 (#120)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | — | 1396 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- GPT-5.3 Chat: 63.1 (#68)

| Benchmark | DeepSeek-V3.2-Speciale | GPT-5.3 Chat |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1690 |
| LMArena Text | — | 1389 |
| LMArena Creative Writing | — | 1355 |
| LMArena Multi-Turn | — | 1412 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than GPT-5.3 Chat?

GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 5.6× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek-V3.2-Speciale or GPT-5.3 Chat?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is DeepSeek-V3.2-Speciale or GPT-5.3 Chat better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 40.4 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do DeepSeek-V3.2-Speciale and GPT-5.3 Chat share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and GPT-5.3 Chat has 18.