# DeepSeek-V3.1-Terminus vs Qwen Plus

> DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 36.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-qwen-plus
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 6 categories and Qwen Plus in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek-V3.1-Terminus leads 35.7 to 22.0.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 63.3% for Qwen Plus.
- DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 per million input/output tokens, against $0.40 / $1.20 for Qwen Plus.
- Qwen Plus accepts more context: 1M tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 42.6 | 36.7 |
| Rank | 96 | 204 |
| Context | 164K | 1M |
| Input $/M | $0.30 | $0.40 |
| Output $/M | $1 | $1.20 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 41.5 (#114)
- Qwen Plus: 38.3 (#163)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Coding | 1426 | 1328 |
| SciCode | 40.6% | — |
| ALE-Bench | 745.17 | — |

## Reasoning

- DeepSeek-V3.1-Terminus: 25.7 (#126)
- Qwen Plus: 27.6 (#101)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 63.3% |
| LMArena Hard Prompts | 1427 | 1317 |
| DTBench | 81.3% | 81.1% |
| LMCA | 28.6% | 24% |
| CritPt | 1.7% | — |

## Math

- DeepSeek-V3.1-Terminus: 35.7 (#138)
- Qwen Plus: 22.0 (#266)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Math | 1402 | 1326 |
| OTIS Mock AIME 2024-2025 | — | 17.8% |
| MATH Level 5 | — | 65.3% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Qwen Plus: 27.4 (#245)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| GPQA Diamond | — | 48.1% |
| LMArena Expert | — | 1328 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.3 (#87)
- Qwen Plus: 45.3 (#170)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Non-English | 1407 | 1310 |
| LMArena Russian | 1434 | 1323 |
| LMArena Chinese | — | 1347 |
| LMArena Japanese | — | 1251 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.4 (#96)
- Qwen Plus: 69.0 (#176)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Instruction Following | 1406 | 1303 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.5 (#88)
- Qwen Plus: 40.3 (#153)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Longer Query | 1426 | 1325 |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.3 (#87)
- Qwen Plus: 52.4 (#171)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen Plus |
|---|---|---|
| LMArena Text | 1420 | 1326 |
| LMArena Creative Writing | 1404 | 1293 |
| LMArena Multi-Turn | 1411 | 1336 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Qwen Plus?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 36.7 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.1-Terminus or Qwen Plus?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; Qwen Plus lists at $0.40 and $1.20.

### Is DeepSeek-V3.1-Terminus or Qwen Plus better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 38.3 in the Noometry coding category.

### Which has the bigger context window?

Qwen Plus does, with 1M tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Qwen Plus share?

13 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Qwen Plus has 20.