# DeepSeek-V2.5 (Sep 2024) vs Gemini 3 Pro

> Gemini 3 Pro is the stronger model overall, scoring 54.7 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-gemini-3-pro
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Gemini 3 Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3 Pro leads 64.3 to 34.2.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 37.0 | 54.7 |
| Rank | 197 | 23 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Gemini 3 Pro: 52.1 (#33)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Coding | 1310 | 1482 |
| SWE-bench Verified | — | 72.9% |
| SWE-bench Verified (bash only) | — | 74.2% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1439 |
| SWE-bench Multilingual | — | 68.7% |
| GSO | — | 18.6% |
| WeirdML | — | 69.9% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 1,177 |
| AlgoTune | — | 1.83 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Agentic & Tool Use

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 3 Pro: 40.5 (#21)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| Terminal-Bench | — | 69.4% |
| 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% |
| Vending-Bench 2 | — | 5,478 |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Gemini 3 Pro: 52.5 (#28)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1481 |
| ARC-AGI-2 | — | 31.1% |
| SimpleBench | — | 76.4% |
| Kagi LLM Benchmark | — | 80.1% |
| NYT Connections (extended) | — | 94.4% |
| ARC-AGI-1 | — | 75% |
| CritPt | — | 6.9% |
| Chess Puzzles | — | 31% |
| EnigmaEval | — | 18.2% |
| Epoch Capabilities Index | — | 152.96 |
| ForecastBench | — | 61.2 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Gemini 3 Pro: 48.8 (#50)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Math | 1289 | 1475 |
| MathArena Final-Answer Competitions | — | 67% |
| OTIS Mock AIME 2024-2025 | — | 91.4% |
| ProofBench | — | 20% |
| Omni-MATH | — | 55.5% |
| FrontierMath (Feb 2025 set) | — | 37.6% |
| FrontierMath Tier 4 (v1) | — | 18.8% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Gemini 3 Pro: 64.3 (#15)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Expert | 1266 | 1475 |
| GPQA Diamond | — | 92.6% |
| Humanity's Last Exam | — | 37.5% |
| MMLU-Pro | — | 90.3% |
| Vectara Hallucination Rate | — | 13.6% |
| GPQA (HELM) | — | 80.3% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Gemini 3 Pro: 56.9 (#1)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Vision | — | 1305 |
| GeoBench | — | 84% |
| VPCT | — | 91% |
| LMArena Document | — | 1434 |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Gemini 3 Pro: 57.1 (#14)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Non-English | 1273 | 1474 |
| LMArena Chinese | 1317 | 1522 |
| LMArena French | 1288 | 1492 |
| LMArena German | 1258 | 1517 |
| LMArena Japanese | 1228 | 1513 |
| LMArena Korean | 1209 | 1449 |
| LMArena Russian | 1289 | 1493 |
| LMArena Spanish | 1248 | 1468 |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Gemini 3 Pro: 76.4 (#42)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Instruction Following | 1280 | 1458 |
| IFEval | — | 87.7% |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Gemini 3 Pro: 44.0 (#75)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Longer Query | 1301 | 1472 |
| CL-bench | — | 15.8% |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Gemini 3 Pro: 66.6 (#34)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Gemini 3 Pro |
|---|---|---|
| LMArena Text | 1294 | 1479 |
| LMArena Creative Writing | 1285 | 1482 |
| LMArena Multi-Turn | 1297 | 1484 |
| EQ-Bench Creative Writing | — | 1525 |
| WildBench | — | 85.9% |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Gemini 3 Pro?

Gemini 3 Pro is the stronger model overall, scoring 54.7 to 37.0 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Gemini 3 Pro better for coding?

Gemini 3 Pro scores higher on coding benchmarks: 52.1 versus 31.3 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Gemini 3 Pro share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Gemini 3 Pro has 67.