# DeepSeek-V2.5 (Sep 2024) vs GPT-4.1 mini

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 5 categories and GPT-4.1 mini in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V2.5 (Sep 2024) leads 24.5 to 10.9.
- The biggest single-benchmark swing is Aider Polyglot: 17.8% for DeepSeek-V2.5 (Sep 2024) and 32.4% for GPT-4.1 mini.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 37.0 | 33.5 |
| Rank | 197 | 232 |
| Context | — | 1.05M |
| Input $/M | — | $0.40 |
| Output $/M | — | $1.60 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| Aider Polyglot | 17.8% | 32.4% |
| BigCodeBench Instruct | 48.6% | 48.9% |
| LMArena Coding | 1310 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| BigCodeBench Complete | 53.2% | — |
| CadEval | — | 16% |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1349 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LMCA | — | 21.1% |
| Epoch Capabilities Index | — | 135.01 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Math | 1289 | 1343 |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| OTIS Mock AIME 2024-2025 | — | 44.7% |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Expert | 1266 | 1338 |
| GPQA Diamond | — | 65.8% |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1273 | 1318 |
| LMArena Chinese | 1317 | 1329 |
| LMArena French | 1288 | 1357 |
| LMArena German | 1258 | 1349 |
| LMArena Japanese | 1228 | 1291 |
| LMArena Korean | 1209 | 1298 |
| LMArena Russian | 1289 | 1324 |
| LMArena Spanish | 1248 | 1319 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1280 | 1332 |
| IFEval | — | 90.4% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1301 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1294 | 1341 |
| LMArena Creative Writing | 1285 | 1300 |
| LMArena Multi-Turn | 1297 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than GPT-4.1 mini?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 33.5 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or GPT-4.1 mini better for coding?

They score almost the same on coding (31.3 vs 30.4); test both on your own repository before choosing.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and GPT-4.1 mini share?

19 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and GPT-4.1 mini has 47.