Model comparison
DeepSeek V4.1 Flash vs Qwen3.5-Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.3 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and Qwen3.5-Flash in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek V4.1 Flash leads 52.8 to 33.9.
- The biggest single-benchmark swing is LMCA: 47% for DeepSeek V4.1 Flash and 29.1% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | Qwen3.5-Flash | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 50.3 | 42.3 |
| Released | 2026-09-09 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 1M | 1M |
| Max output | 393K | 66K |
| Input $ / M tokens | $0.15 | $0.10 |
| Output $ / M tokens | $0.60 | $0.40 |
| Results tracked | 25 | 32 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Qwen3.5-Flash: 33.9 (#234)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1620 | 1243 |
| LMArena Coding | 1511 | 1412 |
| ALE-Bench | 1,092 | 221.8 |
| SciCode | 51.9% | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: —, Qwen3.5-Flash: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Qwen3.5-Flash: 32.9 (#63)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1404 |
| DTBench | 89.9% | 82.9% |
| LMCA | 47% | 29.1% |
| Epoch Capabilities Index | 155.01 | 143.98 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Qwen3.5-Flash: 36.3 (#117)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1493 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| ProofBench | 54% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), Qwen3.5-Flash: 43.2 (#84)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Expert | 1505 | 1408 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Qwen3.5-Flash: 50.7 (#116)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1452 | 1385 |
| LMArena Chinese | 1506 | 1446 |
| LMArena French | 1448 | 1412 |
| LMArena Russian | 1473 | 1379 |
| LMArena Spanish | 1499 | 1399 |
| LMArena German | — | 1389 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1344 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Qwen3.5-Flash: 72.8 (#133)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1475 | 1374 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Qwen3.5-Flash: 42.4 (#119)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1476 | 1392 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Qwen3.5-Flash: 58.2 (#117)
| Benchmark | DeepSeek V4.1 Flash | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1465 | 1397 |
| LMArena Creative Writing | 1436 | 1343 |
| LMArena Multi-Turn | 1460 | 1393 |
| EQ-Bench Creative Writing | 1540 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Qwen3.5-Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 42.3 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Qwen3.5-Flash?
Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Is DeepSeek V4.1 Flash or Qwen3.5-Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 33.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4.1 Flash and Qwen3.5-Flash share?
19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen3.5-Flash has 32.