# DeepSeek V4 Flash vs Gemini 1.5 Flash (May 2024)

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 33.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-gemini-1-5-flash
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Gemini 1.5 Flash (May 2024) in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 22.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 16.3% for Gemini 1.5 Flash (May 2024).
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 53.6 | 33.2 |
| Rank | 35 | 246 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- Gemini 1.5 Flash (May 2024): 34.4 (#236)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| WeirdML | 63% | 24.9% |
| LMArena Coding | 1457 | 1261 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| BigCodeBench Instruct | — | 43.5% |
| BigCodeBench Complete | — | 55.1% |
| ALE-Bench | 1,306 | — |
| HumanEval+ | — | 75.6% |
| MBPP+ | — | 67.5% |

## Agentic & Tool Use

- DeepSeek V4 Flash: —
- Gemini 1.5 Flash (May 2024): 26.6 (#102)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| BALROG | — | 14.6% |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- Gemini 1.5 Flash (May 2024): 21.7 (#215)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1257 |
| DTBench | 90.9% | 53.8% |
| Epoch Capabilities Index | 154.49 | 129.36 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| LMCA | 41.7% | — |
| ForecastBench | — | 53.9 |
| PIQA | — | 87.5% |

## Math

- DeepSeek V4 Flash: 60.3 (#37)
- Gemini 1.5 Flash (May 2024): 22.1 (#281)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 16.3% |
| LMArena Math | 1427 | 1269 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| Omni-MATH | — | 30.4% |
| MATH Level 5 | — | 61.9% |
| FrontierMath (Feb 2025 set) | — | 0% |
| GSM8K | — | 82.4% |

## Knowledge

- DeepSeek V4 Flash: 55.4 (#48)
- Gemini 1.5 Flash (May 2024): 26.2 (#260)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| GPQA Diamond | 91% | 47.3% |
| LMArena Expert | 1441 | 1233 |
| SimpleQA Verified | 33.6% | — |
| MMLU-Pro | — | 67.8% |
| GPQA (HELM) | — | 43.7% |
| BoolQ | — | 85.8% |
| MMLU | — | 77.9% |

## Multimodal

- DeepSeek V4 Flash: —
- Gemini 1.5 Flash (May 2024): 36.0 (#81)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Vision | — | 1141 |
| Video-MME | — | 70.3% |
| GeoBench | — | 76% |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- Gemini 1.5 Flash (May 2024): 42.9 (#189)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Non-English | 1420 | 1278 |
| LMArena Chinese | 1468 | 1295 |
| LMArena French | 1439 | 1258 |
| LMArena German | 1418 | 1262 |
| LMArena Japanese | 1406 | 1252 |
| LMArena Korean | 1384 | 1221 |
| LMArena Russian | 1428 | 1288 |
| LMArena Spanish | 1436 | 1243 |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- Gemini 1.5 Flash (May 2024): 66.8 (#205)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Instruction Following | 1421 | 1258 |
| IFEval | — | 83.1% |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- Gemini 1.5 Flash (May 2024): 39.0 (#187)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Longer Query | 1434 | 1284 |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- Gemini 1.5 Flash (May 2024): 48.7 (#196)

| Benchmark | DeepSeek V4 Flash | Gemini 1.5 Flash (May 2024) |
|---|---|---|
| LMArena Text | 1432 | 1287 |
| LMArena Creative Writing | 1403 | 1285 |
| LMArena Multi-Turn | 1449 | 1253 |
| EQ-Bench Creative Writing | 1559 | — |
| WildBench | — | 79.2% |

## FAQ

### Is DeepSeek V4 Flash better than Gemini 1.5 Flash (May 2024)?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 33.2 on the Noometry Index.

### Is DeepSeek V4 Flash or Gemini 1.5 Flash (May 2024) better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 34.4 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Flash and Gemini 1.5 Flash (May 2024) share?

22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Gemini 1.5 Flash (May 2024) has 42.