# DeepSeek-V3.1-Terminus vs Gemini 2.0 Flash-Lite

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 37.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-gemini-2-0-flash-lite
- Last updated: 2026-10-12
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Gemini 2.0 Flash-Lite in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.0 to 51.7.
- The biggest single-benchmark swing is DTBench: 81.3% for DeepSeek-V3.1-Terminus and 52.5% for Gemini 2.0 Flash-Lite.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 43.1 | 37.8 |
| Rank | 97 | 194 |
| Context | 164K | — |
| Input $/M | $0.27 | — |
| Output $/M | $1 | — |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Gemini 2.0 Flash-Lite: 37.9 (#185)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Coding | 1426 | 1322 |
| SciCode | 40.6% | — |
| LiveBench Coding | — | 47.1% |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Gemini 2.0 Flash-Lite: 22.0 (#210)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1324 |
| DTBench | 81.3% | 52.5% |
| Kagi LLM Benchmark | 57.4% | — |
| CritPt | 1.7% | — |
| LiveBench Reasoning | — | 50.1% |
| LiveBench Data Analysis | — | 65.5% |
| LMCA | 28.6% | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Gemini 2.0 Flash-Lite: 34.1 (#196)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Math | 1402 | 1309 |
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Gemini 2.0 Flash-Lite: 35.0 (#189)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
| LMArena Expert | — | 1305 |

## Multimodal

- DeepSeek-V3.1-Terminus: —
- Gemini 2.0 Flash-Lite: 31.2 (#109)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Gemini 2.0 Flash-Lite: 46.0 (#161)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1407 | 1323 |
| LMArena Russian | 1436 | 1328 |
| LMArena Chinese | — | 1339 |
| LMArena French | — | 1347 |
| LMArena German | — | 1306 |
| LMArena Japanese | — | 1301 |
| LMArena Korean | — | 1325 |
| LMArena Spanish | — | 1313 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Gemini 2.0 Flash-Lite: 70.4 (#163)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1404 | 1305 |
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Gemini 2.0 Flash-Lite: 40.1 (#160)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1421 | 1320 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Gemini 2.0 Flash-Lite: 51.7 (#177)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | 1419 | 1330 |
| LMArena Creative Writing | 1403 | 1319 |
| LMArena Multi-Turn | 1411 | 1307 |
| WildBench | — | 79% |
| LiveBench Language | — | 34.3% |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Gemini 2.0 Flash-Lite?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 37.8 on the Noometry Index.

### Is DeepSeek-V3.1-Terminus or Gemini 2.0 Flash-Lite better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 42.0 versus 37.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V3.1-Terminus and Gemini 2.0 Flash-Lite share?

11 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.