# DeepSeek-V3.1-Terminus vs Gemini 3.5 Flash Lite

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-gemini-3-5-flash-lite
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 1 category and Gemini 3.5 Flash Lite in 6 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 25.9.
- The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 37.6% for Gemini 3.5 Flash Lite.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 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-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| Provider | DeepSeek | Google |
| Noometry Index | 43.1 | 41.5 |
| Rank | 97 | 133 |
| Context | 164K | 1.05M |
| Input $/M | $0.27 | $0.30 |
| Output $/M | $1 | $2.50 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Gemini 3.5 Flash Lite: 42.4 (#104)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| SciCode | 40.6% | 41.3% |
| LMArena Coding | 1426 | 1453 |
| ALE-Bench | 745.17 | 765.27 |
| LMArena WebDev | — | 1440 |
| WeirdML | — | 39% |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- Gemini 3.5 Flash Lite: 25.7 (#107)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| APEX-Agents | — | 29.3% |
| GDP.pdf | — | 10% |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Gemini 3.5 Flash Lite: 27.8 (#114)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| CritPt | 1.7% | 0% |
| LMArena Hard Prompts | 1426 | 1441 |
| DTBench | 81.3% | 83.5% |
| LMCA | 28.6% | 37.6% |
| ARC-AGI-2 | — | 10.3% |
| Kagi LLM Benchmark | 57.4% | — |
| NYT Connections (extended) | — | 60.4% |
| ARC-AGI-1 | — | 53.5% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 19% |
| Epoch Capabilities Index | — | 145.13 |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Gemini 3.5 Flash Lite: 25.9 (#264)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Math | 1402 | 1433 |
| FrontierMath (Tiers 1-3) | — | 26% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 13% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Gemini 3.5 Flash Lite: 50.1 (#72)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| LMArena Expert | — | 1435 |

## Multimodal

- DeepSeek-V3.1-Terminus: —
- Gemini 3.5 Flash Lite: 41.1 (#40)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Vision | — | 1268 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Gemini 3.5 Flash Lite: 53.5 (#63)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Non-English | 1407 | 1427 |
| LMArena Russian | 1436 | 1443 |
| LMArena Chinese | — | 1469 |
| LMArena French | — | 1451 |
| LMArena German | — | 1454 |
| LMArena Japanese | — | 1427 |
| LMArena Korean | — | 1407 |
| LMArena Spanish | — | 1442 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Gemini 3.5 Flash Lite: 74.8 (#85)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Instruction Following | 1404 | 1420 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Gemini 3.5 Flash Lite: 43.9 (#84)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Longer Query | 1421 | 1435 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Gemini 3.5 Flash Lite: 64.2 (#57)

| Benchmark | DeepSeek-V3.1-Terminus | Gemini 3.5 Flash Lite |
|---|---|---|
| LMArena Text | 1419 | 1435 |
| LMArena Creative Writing | 1403 | 1420 |
| LMArena Multi-Turn | 1411 | 1445 |
| EQ-Bench Creative Writing | — | 1559 |

## FAQ

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

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.5 on the Noometry Index.

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

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.

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

They score almost the same on coding (42.0 vs 42.4); test both on your own repository before choosing.

### 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-Terminus and Gemini 3.5 Flash Lite share?

15 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 3.5 Flash Lite has 39.