# DeepSeek-V3.1 vs Gemini 3.5 Flash Lite

> DeepSeek-V3.1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.2 vs 41.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-vs-gemini-3-5-flash-lite
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and Gemini 3.5 Flash Lite in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1 leads 36.1 to 25.7.
- The biggest single-benchmark swing is LMCA: 24.3% for DeepSeek-V3.1 and 37.6% for Gemini 3.5 Flash Lite.
- DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.30 / $2.50 for Gemini 3.5 Flash Lite.
- Gemini 3.5 Flash Lite accepts more context: 1.05M tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 42.2 | 41.8 |
| Rank | 106 | 113 |
| Context | 164K | 1.05M |
| Input $/M | $0.25 | $0.30 |
| Output $/M | $0.95 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1: 39.8 (#140)
- Gemini 3.5 Flash Lite: 42.1 (#96)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| WeirdML | 38.4% | 39% |
| LMArena Coding | 1417 | 1455 |
| LMArena WebDev | — | 1440 |
| SciCode | — | 41.3% |
| ALE-Bench | — | 765.27 |

## Agentic & Tool Use

- DeepSeek-V3.1: —
- Gemini 3.5 Flash Lite: 28.6 (#82)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| GDP.pdf | — | 10% |

## Reasoning

- DeepSeek-V3.1: 27.3 (#109)
- Gemini 3.5 Flash Lite: 27.8 (#95)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1441 |
| DTBench | 82.7% | 83.5% |
| LMCA | 24.3% | 37.6% |
| Epoch Capabilities Index | 139.92 | 145.12 |
| ARC-AGI-2 | — | 10.3% |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 60.4% |
| ARC-AGI-1 | — | 53.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 19% |
| ForecastBench | 58 | — |

## Math

- DeepSeek-V3.1: 36.1 (#125)
- Gemini 3.5 Flash Lite: 25.7 (#245)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Math | 1420 | 1431 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 13% |

## Knowledge

- DeepSeek-V3.1: 43.0 (#86)
- Gemini 3.5 Flash Lite: 50.0 (#66)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Expert | 1403 | 1430 |
| GPQA Diamond | — | 83.3% |
| Vectara Hallucination Rate | 5.5% | — |

## Multimodal

- DeepSeek-V3.1: —
- Gemini 3.5 Flash Lite: 40.3 (#38)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1266 |

## Multilingual

- DeepSeek-V3.1: 51.8 (#100)
- Gemini 3.5 Flash Lite: 53.8 (#59)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1400 | 1428 |
| LMArena Chinese | 1470 | 1467 |
| LMArena French | 1447 | 1452 |
| LMArena German | 1412 | 1454 |
| LMArena Japanese | 1374 | 1428 |
| LMArena Korean | 1337 | 1406 |
| LMArena Russian | 1405 | 1443 |
| LMArena Spanish | 1429 | 1440 |

## Instruction Following

- DeepSeek-V3.1: 74.1 (#105)
- Gemini 3.5 Flash Lite: 75.0 (#77)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1400 | 1420 |

## Long Context

- DeepSeek-V3.1: 36.3 (#227)
- Gemini 3.5 Flash Lite: 43.8 (#80)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1422 | 1435 |
| Fiction.LiveBench | 52.8% | — |

## Writing & Preference

- DeepSeek-V3.1: 60.5 (#93)
- Gemini 3.5 Flash Lite: 64.4 (#55)

| Benchmark | DeepSeek-V3.1 | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1420 | 1436 |
| LMArena Creative Writing | 1401 | 1419 |
| EQ-Bench Creative Writing | 1436 | 1559 |
| LMArena Multi-Turn | 1408 | 1445 |

## FAQ

### Is DeepSeek-V3.1 better than Gemini 3.5 Flash Lite?

DeepSeek-V3.1 and Gemini 3.5 Flash Lite score almost the same on the Noometry Index (42.2 vs 41.8), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1 or Gemini 3.5 Flash Lite?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.

### Is DeepSeek-V3.1 or Gemini 3.5 Flash Lite better for coding?

Gemini 3.5 Flash Lite scores higher on coding benchmarks: 42.1 versus 39.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash Lite does, with 1.05M tokens against 164K.

### How many benchmarks do DeepSeek-V3.1 and Gemini 3.5 Flash Lite share?

22 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3.5 Flash Lite has 38.