# DeepSeek V4.1 Flash vs Gemini 3.6 Flash

> Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 50.3 on the Noometry Index. DeepSeek V4.1 Flash costs 5.7× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-gemini-3-6-flash
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Gemini 3.6 Flash in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 3.6 Flash leads 67.8 to 41.6.
- The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 36% for Gemini 3.6 Flash.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.6 Flash.
- Gemini 3.6 Flash accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 50.3 | 54.1 |
| Rank | 40 | 30 |
| Context | 1M | 1.05M |
| Input $/M | $0.15 | $0.75 |
| Output $/M | $0.60 | $3.75 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek V4.1 Flash: 52.8 (#29)
- Gemini 3.6 Flash: 49.6 (#45)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena WebDev | 1620 | 1536 |
| SciCode | 51.9% | 52.7% |
| LMArena Coding | 1511 | 1492 |
| ALE-Bench | 1,092 | 715.52 |
| DeepSWE | — | 46.7% |
| FrontierCode | — | 34.4% |
| WeirdML | — | 56.1% |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: —
- Gemini 3.6 Flash: 32.4 (#56)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| APEX-Agents | — | 46.9% |
| GDP.pdf | — | 14% |

## Reasoning

- DeepSeek V4.1 Flash: 46.2 (#39)
- Gemini 3.6 Flash: 58.9 (#20)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| NYT Connections (extended) | 89.6% | 89% |
| CritPt | 14.3% | 10.6% |
| LMArena Hard Prompts | 1485 | 1486 |
| DTBench | 89.9% | 95.5% |
| LMCA | 47% | 44.9% |
| Epoch Capabilities Index | 155.01 | 154.36 |
| ARC-AGI-2 | — | 60.4% |
| ARC-AGI-1 | — | 91.2% |
| Chess Puzzles | — | 43% |
| Mystery Game Puzzles | — | 30% |
| Surface Evolver Bench | 46.3% | — |

## Math

- DeepSeek V4.1 Flash: 48.4 (#52)
- Gemini 3.6 Flash: 57.0 (#33)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| ProofBench | 54% | 36% |
| LMArena Math | 1493 | 1504 |
| FrontierMath (Tiers 1-3) | — | 58.9% |
| FrontierMath Tier 4 | — | 22% |
| MathArena Final-Answer Competitions | — | 70.8% |
| OTIS Mock AIME 2024-2025 | — | 94.2% |

## Knowledge

- DeepSeek V4.1 Flash: 41.6 (#97)
- Gemini 3.6 Flash: 67.8 (#7)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Expert | 1505 | 1489 |
| GPQA Diamond | — | 94.1% |
| SimpleQA Verified | — | 66.2% |

## Multimodal

- DeepSeek V4.1 Flash: —
- Gemini 3.6 Flash: 38.7 (#55)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Vision | — | 1297 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 23.3% |
| LMArena Document | — | 1456 |

## Multilingual

- DeepSeek V4.1 Flash: 55.5 (#29)
- Gemini 3.6 Flash: 56.8 (#17)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Non-English | 1452 | 1470 |
| LMArena Chinese | 1506 | 1530 |
| LMArena French | 1448 | 1501 |
| LMArena Russian | 1473 | 1490 |
| LMArena Spanish | 1499 | 1477 |
| LMArena German | — | 1478 |
| LMArena Japanese | — | 1477 |
| LMArena Korean | — | 1435 |

## Instruction Following

- DeepSeek V4.1 Flash: 77.6 (#24)
- Gemini 3.6 Flash: 77.2 (#27)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1475 | 1467 |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#46)
- Gemini 3.6 Flash: 45.1 (#47)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1476 | 1475 |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.8 (#43)
- Gemini 3.6 Flash: 68.3 (#26)

| Benchmark | DeepSeek V4.1 Flash | Gemini 3.6 Flash |
|---|---|---|
| LMArena Text | 1465 | 1478 |
| LMArena Creative Writing | 1436 | 1464 |
| EQ-Bench Creative Writing | 1540 | 1604 |
| LMArena Multi-Turn | 1460 | 1481 |

## FAQ

### Is DeepSeek V4.1 Flash better than Gemini 3.6 Flash?

Gemini 3.6 Flash is the stronger model overall, scoring 54.1 to 50.3 on the Noometry Index. DeepSeek V4.1 Flash costs 5.7× less per token, which makes it the better buy when Gemini 3.6 Flash's lead doesn't matter for your workload.

### Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.6 Flash?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Gemini 3.6 Flash lists at $0.75 and $3.75.

### Is DeepSeek V4.1 Flash or Gemini 3.6 Flash better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 49.6 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.6 Flash does, with 1.05M tokens against 1M.

### How many benchmarks do DeepSeek V4.1 Flash and Gemini 3.6 Flash share?

24 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Gemini 3.6 Flash has 46.