# DeepSeek-V2.5 (Sep 2024) vs GPT-5.2 Codex

> GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gpt-5-2-codex
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 31.3.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.0 | 42.2 |
| Rank | 197 | 107 |
| Context | — | 400K |
| Input $/M | — | $1.75 |
| Output $/M | — | $14 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- GPT-5.2 Codex: 45.4 (#66)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 1,300 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- GPT-5.2 Codex: 40.7 (#20)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Hard Prompts | 1289 | — |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1289 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1280 | — |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-5.2 Codex share?

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-5.2 Codex has 5.