Model comparison
DeepSeek V4.1 Flash vs Qwen-14B
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.4 to 27.6.
Side by side
| DeepSeek V4.1 Flash | Qwen-14B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 52.8 | 31.4 |
| Released | 2026-09-09 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Qwen-14B: 31.2 (#288)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Coding | 1506 | 1071 |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Qwen-14B: —
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Qwen-14B: 19.6 (#257)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1027 |
| Epoch Capabilities Index | 154.9 | 113.03 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), Qwen-14B: 31.2 (#227)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Math | 1477 | 1068 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), Qwen-14B: —
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Qwen-14B: —
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), Qwen-14B: 27.5 (#275)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1448 | 1041 |
| LMArena Chinese | 1497 | 1077 |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), Qwen-14B: 52.4 (#289)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1031 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), Qwen-14B: 31.3 (#280)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1475 | 1028 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), Qwen-14B: 27.6 (#299)
| Benchmark | DeepSeek V4.1 Flash | Qwen-14B |
|---|---|---|
| LMArena Text | 1462 | 1051 |
| LMArena Creative Writing | 1435 | 1028 |
| LMArena Multi-Turn | 1457 | 1022 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Qwen-14B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.4 on the Noometry Index.
Is DeepSeek V4.1 Flash or Qwen-14B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 31.2 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Qwen-14B share?
11 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen-14B has 18.