# DeepSeek V4 Pro vs Gemini 3 Pro

> DeepSeek V4 Pro and Gemini 3 Pro score almost the same on the Noometry Index (54.3 vs 54.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-gemini-3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 36

## Summary

- They share 36 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 4 categories and Gemini 3 Pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 49.9.
- The biggest single-benchmark swing is ARC-AGI-2: 61.3% for DeepSeek V4 Pro and 31.1% for Gemini 3 Pro.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 54.3 | 54.8 |
| Rank | 31 | 28 |
| Context | 1M | — |
| Input $/M | $0.66 | — |
| Output $/M | $1.98 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4 Pro: 52.4 (#34)
- Gemini 3 Pro: 51.6 (#39)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| SWE-bench Verified | 77.6% | 72.9% |
| LMArena WebDev | 1582 | 1440 |
| WeirdML | 66.2% | 69.9% |
| LMArena Coding | 1470 | 1481 |
| ALE-Bench | 1,403 | 1,177 |
| FrontierCode | 28.6% | — |
| SWE-bench Verified (bash only) | — | 74.2% |
| SWE-bench Multilingual | — | 68.7% |
| SciCode | 51% | — |
| GSO | — | 18.6% |
| AlgoTune | — | 1.83 |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.8 (#58)
- Gemini 3 Pro: 40.6 (#23)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| Vending-Bench 2 | 3,285 | 5,478 |
| Terminal-Bench | — | 69.4% |
| APEX-Agents | 47.3% | — |
| Berkeley Function Calling Leaderboard | — | 72.5% |
| GDPval | — | 40.3% |
| Remote Labor Index | — | 1.3% |
| τ²-bench Airline | — | 80.5% |
| τ²-bench Banking | — | 18% |
| τ²-bench Retail | — | 75.9% |
| τ²-bench Telecom | — | 91% |
| DeepResearch Bench | — | 46.3% |
| BALROG | — | 58.1% |
| LMArena Search | — | 1207 |
| METR Time Horizons | — | 71% |

## Reasoning

- DeepSeek V4 Pro: 56.5 (#24)
- Gemini 3 Pro: 52.5 (#31)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| ARC-AGI-2 | 61.3% | 31.1% |
| Kagi LLM Benchmark | 53.5% | 80.1% |
| NYT Connections (extended) | 91.3% | 94.4% |
| ARC-AGI-1 | 90.5% | 75% |
| CritPt | 18% | 6.9% |
| Chess Puzzles | 47% | 31% |
| LMArena Hard Prompts | 1461 | 1480 |
| Epoch Capabilities Index | 155.31 | 152.92 |
| ForecastBench | 56.1 | 61.2 |
| SimpleBench | — | 76.4% |
| EnigmaEval | — | 18.2% |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |

## Math

- DeepSeek V4 Pro: 64.8 (#30)
- Gemini 3 Pro: 49.9 (#59)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| MathArena Final-Answer Competitions | 76.6% | 67% |
| OTIS Mock AIME 2024-2025 | 98.6% | 91.4% |
| ProofBench | 50% | 20% |
| LMArena Math | 1455 | 1476 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| Omni-MATH | — | 55.5% |
| FrontierMath (Feb 2025 set) | — | 37.6% |
| FrontierMath Tier 4 (v1) | — | 18.8% |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#31)
- Gemini 3 Pro: 64.4 (#16)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| GPQA Diamond | 91.7% | 92.6% |
| Vectara Hallucination Rate | 8.6% | 13.6% |
| LMArena Expert | 1464 | 1475 |
| Humanity's Last Exam | — | 37.5% |
| SimpleQA Verified | 52.9% | — |
| MMLU-Pro | — | 90.3% |
| GPQA (HELM) | — | 80.3% |

## Multimodal

- DeepSeek V4 Pro: —
- Gemini 3 Pro: 57.6 (#2)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| LMArena Vision | — | 1305 |
| GeoBench | — | 84% |
| VPCT | — | 91% |
| LMArena Document | — | 1434 |

## Multilingual

- DeepSeek V4 Pro: 54.4 (#45)
- Gemini 3 Pro: 56.9 (#16)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| LMArena Non-English | 1439 | 1474 |
| LMArena Chinese | 1486 | 1523 |
| LMArena French | 1472 | 1492 |
| LMArena German | 1458 | 1515 |
| LMArena Japanese | 1445 | 1510 |
| LMArena Korean | 1447 | 1448 |
| LMArena Russian | 1453 | 1493 |
| LMArena Spanish | 1458 | 1470 |

## Instruction Following

- DeepSeek V4 Pro: 76.1 (#47)
- Gemini 3 Pro: 76.3 (#45)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| LMArena Instruction Following | 1448 | 1458 |
| IFEval | — | 87.7% |

## Long Context

- DeepSeek V4 Pro: 45.0 (#51)
- Gemini 3 Pro: 44.0 (#79)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| LMArena Longer Query | 1458 | 1471 |
| CL-bench | — | 15.8% |
| CL-bench Life | 13.5% | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.5 (#46)
- Gemini 3 Pro: 66.4 (#35)

| Benchmark | DeepSeek V4 Pro | Gemini 3 Pro |
|---|---|---|
| LMArena Text | 1451 | 1479 |
| LMArena Creative Writing | 1446 | 1482 |
| EQ-Bench Creative Writing | 1553 | 1525 |
| LMArena Multi-Turn | 1467 | 1484 |
| WildBench | — | 85.9% |
| EQ-Bench 4 | 1166 | — |

## FAQ

### Is DeepSeek V4 Pro better than Gemini 3 Pro?

DeepSeek V4 Pro and Gemini 3 Pro score almost the same on the Noometry Index (54.3 vs 54.8), so choose on price, context window or the category you care about most.

### Is DeepSeek V4 Pro or Gemini 3 Pro better for coding?

They score almost the same on coding (52.4 vs 51.6); test both on your own repository before choosing.

### How many benchmarks do DeepSeek V4 Pro and Gemini 3 Pro share?

36 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemini 3 Pro has 67.