# DeepSeek-V2.5 (Sep 2024) vs Qwen3.7 Flash

> Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 37.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-qwen3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 34.2.
- DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.0 | 39.5 |
| Rank | 197 | 152 |
| Context | — | 1M |
| Input $/M | — | $0.03 |
| Output $/M | — | $0.13 |
| Weights | Open | Proprietary |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Qwen3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| LMArena Coding | 1310 | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Qwen3.7 Flash: 27.3 (#108)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1289 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.62 |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Qwen3.7 Flash: 37.3 (#100)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1289 | — |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Qwen3.7 Flash: 48.9 (#69)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1266 | — |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Qwen3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1273 | — |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Qwen3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1280 | — |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Qwen3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Qwen3.7 Flash: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1294 | — |
| LMArena Creative Writing | 1285 | — |
| LMArena Multi-Turn | 1297 | — |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.7 Flash?

Qwen3.7 Flash is the stronger model overall, scoring 39.5 to 37.0 on the Noometry Index.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.7 Flash share?

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.7 Flash has 7.