# DeepSeek V4.1 Flash vs o3-mini

> DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 36.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-o3-mini
- Last updated: 2026-10-11
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and o3-mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 28.1.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 67.4% for DeepSeek V4.1 Flash and 18.6% for o3-mini.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 200K.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 52.8 | 36.7 |
| Rank | 38 | 212 |
| Context | 1M | 200K |
| Input $/M | $0.15 | $1.10 |
| Output $/M | $0.60 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4.1 Flash: 52.9 (#32)
- o3-mini: 40.8 (#132)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| SciCode | 51.9% | 39.8% |
| LMArena Coding | 1506 | 1378 |
| Aider Polyglot | — | 60.4% |
| LMArena WebDev | 1619 | — |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
| ALE-Bench | 1,092 | — |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: 31.2 (#69)
- o3-mini: 29.6 (#84)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| APEX-Agents | 39.5% | — |
| Cybench | — | 22.5% |
| GDP.pdf | 19.8% | — |

## Reasoning

- DeepSeek V4.1 Flash: 50.2 (#36)
- o3-mini: 16.3 (#305)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| CritPt | 14.3% | 0.3% |
| LMArena Hard Prompts | 1483 | 1366 |
| Mystery Game Puzzles | 43% | 7% |
| DTBench | 89.9% | 68.8% |
| LMCA | 47% | 19% |
| Epoch Capabilities Index | 154.9 | 140.34 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | — | 34.5% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| LiveBench Data Analysis | — | 70.6% |
| Surface Evolver Bench | 46.3% | — |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |

## Math

- DeepSeek V4.1 Flash: 66.7 (#25)
- o3-mini: 28.1 (#244)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | 18.6% |
| FrontierMath Tier 4 | 26.8% | 0% |
| OTIS Mock AIME 2024-2025 | 98.3% | 76.9% |
| LMArena Math | 1477 | 1396 |
| ProofBench | 54% | — |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- DeepSeek V4.1 Flash: 57.9 (#38)
- o3-mini: 38.3 (#146)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| GPQA Diamond | 89.8% | 77% |
| LMArena Expert | 1506 | 1364 |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |

## Multimodal

- DeepSeek V4.1 Flash: 39.1 (#61)
- o3-mini: —

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.0 (#35)
- o3-mini: 45.7 (#164)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| LMArena Non-English | 1448 | 1319 |
| LMArena Chinese | 1497 | 1379 |
| LMArena French | 1452 | 1334 |
| LMArena German | 1484 | 1303 |
| LMArena Japanese | 1412 | 1286 |
| LMArena Korean | 1452 | 1314 |
| LMArena Russian | 1471 | 1304 |
| LMArena Spanish | 1459 | 1321 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.3 (#26)
- o3-mini: 75.1 (#72)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1474 | 1337 |
| LiveBench Instruction Following | — | 84.4% |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#47)
- o3-mini: 33.8 (#256)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| LMArena Longer Query | 1475 | 1343 |
| Fiction.LiveBench | — | 50% |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.4 (#48)
- o3-mini: 50.3 (#182)

| Benchmark | DeepSeek V4.1 Flash | o3-mini |
|---|---|---|
| LMArena Text | 1462 | 1337 |
| LMArena Creative Writing | 1435 | 1286 |
| LMArena Multi-Turn | 1457 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| EQ-Bench Creative Writing | 1540 | — |
| LiveBench Language | — | 50.7% |

## FAQ

### Is DeepSeek V4.1 Flash better than o3-mini?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 36.7 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or o3-mini?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; o3-mini lists at $1.10 and $4.40.

### Is DeepSeek V4.1 Flash or o3-mini better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 40.8 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 200K.

### How many benchmarks do DeepSeek V4.1 Flash and o3-mini share?

27 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and o3-mini has 51.