Model comparison
DeepSeek V4.1 Flash vs Qwen2.5 Plus 1127
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 38.1 on the Noometry Index.
Last verified . 12 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Qwen2.5 Plus 1127 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 46.2 to 24.8.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 50.3 | 38.1 |
| Released | 2026-09-09 | — |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 25 | 14 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Qwen2.5 Plus 1127: 37.9 (#171)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1511 | 1314 |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Qwen2.5 Plus 1127: 24.8 (#139)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1299 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 155.01 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Qwen2.5 Plus 1127: 33.5 (#175)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1493 | 1298 |
| ProofBench | 54% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), Qwen2.5 Plus 1127: 34.9 (#179)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1505 | 1289 |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Qwen2.5 Plus 1127: 42.1 (#196)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1452 | 1265 |
| LMArena Chinese | 1506 | 1314 |
| LMArena Russian | 1473 | 1271 |
| LMArena French | 1448 | — |
| LMArena German | — | 1231 |
| LMArena Japanese | — | 1207 |
| LMArena Spanish | 1499 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Qwen2.5 Plus 1127: 67.4 (#194)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1475 | 1275 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Qwen2.5 Plus 1127: 39.2 (#180)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1476 | 1292 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Qwen2.5 Plus 1127: 49.5 (#186)
| Benchmark | DeepSeek V4.1 Flash | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1465 | 1299 |
| LMArena Creative Writing | 1436 | 1262 |
| LMArena Multi-Turn | 1460 | 1299 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Qwen2.5 Plus 1127?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 38.1 on the Noometry Index.
Is DeepSeek V4.1 Flash or Qwen2.5 Plus 1127 better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 37.9 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Qwen2.5 Plus 1127 share?
12 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen2.5 Plus 1127 has 14.