# DeepSeek-V3.1-Terminus vs GPT-5.2 Codex

> DeepSeek-V3.1-Terminus and GPT-5.2 Codex score almost the same on the Noometry Index (42.6 vs 42.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-gpt-5-2-codex
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and GPT-5.2 Codex in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 41.5.
- DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 42.6 | 42.2 |
| Rank | 96 | 107 |
| Context | 164K | 400K |
| Input $/M | $0.30 | $1.75 |
| Output $/M | $1 | $14 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- GPT-5.2 Codex: 45.4 (#66)

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| ALE-Bench | 745.17 | 1,300 |
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| SciCode | 40.6% | — |
| LMArena Coding | 1426 | — |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- GPT-5.2 Codex: 40.7 (#20)

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| LMArena Hard Prompts | 1427 | — |
| DTBench | 81.3% | — |
| LMCA | 28.6% | — |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1402 | — |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 1407 | — |
| LMArena Russian | 1434 | — |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1406 | — |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1426 | — |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- GPT-5.2 Codex: —

| Benchmark | DeepSeek-V3.1-Terminus | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1420 | — |
| LMArena Creative Writing | 1404 | — |
| LMArena Multi-Turn | 1411 | — |

## FAQ

### Is DeepSeek-V3.1-Terminus better than GPT-5.2 Codex?

DeepSeek-V3.1-Terminus and GPT-5.2 Codex score almost the same on the Noometry Index (42.6 vs 42.2), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1-Terminus or GPT-5.2 Codex?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is DeepSeek-V3.1-Terminus or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 41.5 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and GPT-5.2 Codex share?

1 benchmark has published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and GPT-5.2 Codex has 5.