# DeepSeek V4 Pro vs Gemini 2.0 Flash-Lite

> DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 37.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-gemini-2-0-flash-lite
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Gemini 2.0 Flash-Lite in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 21.2.
- The biggest single-benchmark swing is DTBench: 93.9% for DeepSeek V4 Pro and 52.5% for Gemini 2.0 Flash-Lite.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 54.2 | 37.3 |
| Rank | 28 | 189 |
| Context | 1M | — |
| Input $/M | $0.43 | — |
| Output $/M | $0.87 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4 Pro: 52.2 (#31)
- Gemini 2.0 Flash-Lite: 37.4 (#181)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Coding | 1470 | 1322 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LiveBench Coding | — | 47.1% |
| ALE-Bench | 1,403 | — |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.7 (#54)
- Gemini 2.0 Flash-Lite: —

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |

## Reasoning

- DeepSeek V4 Pro: 56.4 (#22)
- Gemini 2.0 Flash-Lite: 21.2 (#203)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1324 |
| DTBench | 93.9% | 52.5% |
| ForecastBench | 56.1 | 57.1 |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| LiveBench Reasoning | — | 50.1% |
| Mystery Game Puzzles | 43% | — |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.39 | — |
| LiveBench | — | 54.3% |

## Math

- DeepSeek V4 Pro: 64.6 (#24)
- Gemini 2.0 Flash-Lite: 31.8 (#192)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Math | 1455 | 1309 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#28)
- Gemini 2.0 Flash-Lite: 34.6 (#185)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Expert | 1463 | 1305 |
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| MMLU-Pro | — | 72% |
| Vectara Hallucination Rate | 8.6% | — |
| GPQA (HELM) | — | 50% |

## Multimodal

- DeepSeek V4 Pro: —
- Gemini 2.0 Flash-Lite: 30.6 (#103)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |

## Multilingual

- DeepSeek V4 Pro: 54.5 (#44)
- Gemini 2.0 Flash-Lite: 46.2 (#156)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1438 | 1323 |
| LMArena Chinese | 1486 | 1339 |
| LMArena French | 1473 | 1346 |
| LMArena German | 1458 | 1306 |
| LMArena Japanese | 1448 | 1302 |
| LMArena Korean | 1452 | 1325 |
| LMArena Russian | 1452 | 1328 |
| LMArena Spanish | 1457 | 1313 |

## Instruction Following

- DeepSeek V4 Pro: 76.3 (#44)
- Gemini 2.0 Flash-Lite: 70.6 (#158)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1448 | 1305 |
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |

## Long Context

- DeepSeek V4 Pro: 45.0 (#49)
- Gemini 2.0 Flash-Lite: 40.1 (#155)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1459 | 1321 |
| CL-bench Life | 13.5% | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.6 (#45)
- Gemini 2.0 Flash-Lite: 51.9 (#172)

| Benchmark | DeepSeek V4 Pro | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | 1451 | 1330 |
| LMArena Creative Writing | 1446 | 1319 |
| LMArena Multi-Turn | 1467 | 1307 |
| EQ-Bench Creative Writing | 1553 | — |
| WildBench | — | 79% |
| EQ-Bench 4 | 1166 | — |
| LiveBench Language | — | 34.3% |

## FAQ

### Is DeepSeek V4 Pro better than Gemini 2.0 Flash-Lite?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 37.3 on the Noometry Index.

### Is DeepSeek V4 Pro or Gemini 2.0 Flash-Lite better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 37.4 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Pro and Gemini 2.0 Flash-Lite share?

19 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.