# DeepSeek V4 Pro vs o3-mini

> DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 36.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-o3-mini
- Last updated: 2026-10-10
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 9 categories and o3-mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 16.3.
- The biggest single-benchmark swing is ARC-AGI-2: 61.3% for DeepSeek V4 Pro and 3% for o3-mini.
- DeepSeek V4 Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 200K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 54.2 | 36.7 |
| Rank | 28 | 205 |
| Context | 1M | 200K |
| Input $/M | $0.43 | $1.10 |
| Output $/M | $0.87 | $4.40 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4 Pro: 52.2 (#31)
- o3-mini: 41.4 (#116)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| SciCode | 51% | 39.8% |
| WeirdML | 66.2% | 43.7% |
| LMArena Coding | 1470 | 1378 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| Aider Polyglot | — | 60.4% |
| LMArena WebDev | 1582 | — |
| GSO | — | 1.3% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
| ALE-Bench | 1,403 | — |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.7 (#54)
- o3-mini: 29.3 (#79)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Cybench | — | 22.5% |
| Vending-Bench 2 | 3,285 | — |

## Reasoning

- DeepSeek V4 Pro: 56.4 (#22)
- o3-mini: 16.3 (#295)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| ARC-AGI-2 | 61.3% | 3% |
| ARC-AGI-1 | 90.5% | 34.5% |
| CritPt | 18% | 0.3% |
| Chess Puzzles | 47% | 17% |
| LMArena Hard Prompts | 1461 | 1366 |
| Mystery Game Puzzles | 43% | 7% |
| DTBench | 93.9% | 68.8% |
| LMCA | 45.5% | 19% |
| Epoch Capabilities Index | 155.39 | 140.35 |
| ForecastBench | 56.1 | 59.6 |
| SimpleBench | — | 22.8% |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| LiveBench Reasoning | — | 89.6% |
| LiveBench Data Analysis | — | 70.6% |
| Surface Evolver Bench | 40% | — |
| LiveBench | — | 75.9% |

## Math

- DeepSeek V4 Pro: 64.6 (#24)
- o3-mini: 27.6 (#236)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 18.6% |
| FrontierMath Tier 4 | 26.8% | 0% |
| OTIS Mock AIME 2024-2025 | 98.6% | 76.9% |
| LMArena Math | 1455 | 1396 |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#28)
- o3-mini: 38.3 (#135)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| GPQA Diamond | 91.7% | 77% |
| SimpleQA Verified | 52.9% | 15.3% |
| LMArena Expert | 1463 | 1364 |
| Confabulations | — | 17.9% |
| Vectara Hallucination Rate | 8.6% | — |

## Multilingual

- DeepSeek V4 Pro: 54.5 (#44)
- o3-mini: 45.9 (#159)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| LMArena Non-English | 1438 | 1319 |
| LMArena Chinese | 1486 | 1379 |
| LMArena French | 1473 | 1333 |
| LMArena German | 1458 | 1303 |
| LMArena Japanese | 1448 | 1286 |
| LMArena Korean | 1452 | 1314 |
| LMArena Russian | 1452 | 1304 |
| LMArena Spanish | 1457 | 1321 |

## Instruction Following

- DeepSeek V4 Pro: 76.3 (#44)
- o3-mini: 75.3 (#67)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1448 | 1338 |
| LiveBench Instruction Following | — | 84.4% |

## Long Context

- DeepSeek V4 Pro: 45.0 (#49)
- o3-mini: 33.8 (#251)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| LMArena Longer Query | 1459 | 1343 |
| Fiction.LiveBench | — | 50% |
| CL-bench Life | 13.5% | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.6 (#45)
- o3-mini: 50.4 (#177)

| Benchmark | DeepSeek V4 Pro | o3-mini |
|---|---|---|
| LMArena Text | 1451 | 1337 |
| LMArena Creative Writing | 1446 | 1286 |
| LMArena Multi-Turn | 1467 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
| LiveBench Language | — | 50.7% |

## FAQ

### Is DeepSeek V4 Pro better than o3-mini?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 36.7 on the Noometry Index.

### Which is cheaper, DeepSeek V4 Pro or o3-mini?

DeepSeek V4 Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; o3-mini lists at $1.10 and $4.40.

### Is DeepSeek V4 Pro or o3-mini better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 41.4 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do DeepSeek V4 Pro and o3-mini share?

33 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and o3-mini has 51.