# DeepSeek-V3.1-Terminus vs Qwen3 Max

> DeepSeek-V3.1-Terminus and Qwen3 Max score almost the same on the Noometry Index (43.1 vs 43.7), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-1-terminus-vs-qwen3-max
- Last updated: 2026-10-12
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 2 categories and Qwen3 Max in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.1-Terminus leads 26.4 to 22.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 57.4% for DeepSeek-V3.1-Terminus and 72.5% for Qwen3 Max.
- DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3 Max accepts more context: 262K tokens versus 164K.
- DeepSeek-V3.1-Terminus has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 43.1 | 43.7 |
| Rank | 97 | 87 |
| Context | 164K | 262K |
| Input $/M | $0.27 | $1.20 |
| Output $/M | $1 | $6 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V3.1-Terminus: 42.0 (#113)
- Qwen3 Max: 43.0 (#93)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1426 | 1456 |
| ALE-Bench | 745.17 | 370.45 |
| SciCode | 40.6% | — |

## Agentic & Tool Use

- DeepSeek-V3.1-Terminus: —
- Qwen3 Max: —

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |

## Reasoning

- DeepSeek-V3.1-Terminus: 26.4 (#133)
- Qwen3 Max: 22.6 (#190)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 57.4% | 72.5% |
| LMArena Hard Prompts | 1426 | 1448 |
| DTBench | 81.3% | 82.1% |
| LMCA | 28.6% | 28.3% |
| NYT Connections (extended) | — | 30.1% |
| CritPt | 1.7% | — |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
| Epoch Capabilities Index | — | 142.38 |

## Math

- DeepSeek-V3.1-Terminus: 38.5 (#137)
- Qwen3 Max: 38.7 (#131)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Math | 1402 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| MATH Level 5 | — | 97.1% |

## Knowledge

- DeepSeek-V3.1-Terminus: —
- Qwen3 Max: 48.1 (#78)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1455 |

## Multilingual

- DeepSeek-V3.1-Terminus: 52.1 (#92)
- Qwen3 Max: 53.7 (#62)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1407 | 1429 |
| LMArena Russian | 1436 | 1428 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1449 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1397 |
| LMArena Korean | — | 1399 |
| LMArena Spanish | — | 1462 |

## Instruction Following

- DeepSeek-V3.1-Terminus: 74.0 (#106)
- Qwen3 Max: 74.8 (#87)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1404 | 1419 |

## Long Context

- DeepSeek-V3.1-Terminus: 43.4 (#97)
- Qwen3 Max: 41.6 (#134)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1421 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |

## Writing & Preference

- DeepSeek-V3.1-Terminus: 61.0 (#92)
- Qwen3 Max: 62.4 (#76)

| Benchmark | DeepSeek-V3.1-Terminus | Qwen3 Max |
|---|---|---|
| LMArena Text | 1419 | 1439 |
| LMArena Creative Writing | 1403 | 1402 |
| LMArena Multi-Turn | 1411 | 1446 |

## FAQ

### Is DeepSeek-V3.1-Terminus better than Qwen3 Max?

DeepSeek-V3.1-Terminus and Qwen3 Max score almost the same on the Noometry Index (43.1 vs 43.7), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.1-Terminus or Qwen3 Max?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Qwen3 Max lists at $1.20 and $6.

### Is DeepSeek-V3.1-Terminus or Qwen3 Max better for coding?

They score almost the same on coding (42.0 vs 43.0); test both on your own repository before choosing.

### Which has the bigger context window?

Qwen3 Max does, with 262K tokens against 164K.

### How many benchmarks do DeepSeek-V3.1-Terminus and Qwen3 Max share?

14 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Qwen3 Max has 33.