# DeepSeek V4.1 Flash vs Qwen3 14B

> DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 35.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-1-flash-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 5 categories and Qwen3 14B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 18.1.
- The biggest single-benchmark swing is LMCA: 47% for DeepSeek V4.1 Flash and 18.2% for Qwen3 14B.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

## Snapshot

| | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 50.3 | 35.0 |
| Rank | 40 | 222 |
| Context | 1M | 131K |
| Input $/M | $0.15 | $0.35 |
| Output $/M | $0.60 | $1.40 |
| Weights | Open | Open |

## Coding

- DeepSeek V4.1 Flash: 52.8 (#29)
- Qwen3 14B: 36.7 (#191)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| SciCode | 51.9% | 31.6% |
| LMArena WebDev | 1620 | — |
| LMArena Coding | 1511 | — |
| ALE-Bench | 1,092 | — |

## Agentic & Tool Use

- DeepSeek V4.1 Flash: —
- Qwen3 14B: 29.4 (#78)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- DeepSeek V4.1 Flash: 46.2 (#39)
- Qwen3 14B: 18.1 (#272)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| CritPt | 14.3% | 0% |
| DTBench | 89.9% | 64% |
| LMCA | 47% | 18.2% |
| Epoch Capabilities Index | 155.01 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| NYT Connections (extended) | 89.6% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1485 | — |
| Surface Evolver Bench | 46.3% | — |

## Math

- DeepSeek V4.1 Flash: 48.4 (#52)
- Qwen3 14B: 37.0 (#102)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| ProofBench | 54% | — |
| LMArena Math | 1493 | — |

## Knowledge

- DeepSeek V4.1 Flash: 41.6 (#97)
- Qwen3 14B: 39.2 (#124)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1505 | — |

## Multilingual

- DeepSeek V4.1 Flash: 55.5 (#29)
- Qwen3 14B: —

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1506 | — |
| LMArena French | 1448 | — |
| LMArena Russian | 1473 | — |
| LMArena Spanish | 1499 | — |

## Instruction Following

- DeepSeek V4.1 Flash: 77.6 (#24)
- Qwen3 14B: —

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1475 | — |

## Long Context

- DeepSeek V4.1 Flash: 45.2 (#46)
- Qwen3 14B: 38.0 (#201)

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1476 | — |

## Writing & Preference

- DeepSeek V4.1 Flash: 65.8 (#43)
- Qwen3 14B: —

| Benchmark | DeepSeek V4.1 Flash | Qwen3 14B |
|---|---|---|
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1436 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1460 | — |

## FAQ

### Is DeepSeek V4.1 Flash better than Qwen3 14B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 35.0 on the Noometry Index.

### Which is cheaper, DeepSeek V4.1 Flash or Qwen3 14B?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.

### Is DeepSeek V4.1 Flash or Qwen3 14B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 36.7 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

### How many benchmarks do DeepSeek V4.1 Flash and Qwen3 14B share?

5 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen3 14B has 12.