Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 26.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-1.5B scores higher in 0 categories and Qwen3.6 Plus in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 16.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 21.4% for DeepSeek-R1-Distill-Qwen-1.5B and 93.3% for Qwen3.6 Plus.
- DeepSeek-R1-Distill-Qwen-1.5B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 26.1 | 47.5 |
| Released | 2025-01-20 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 5 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.6 Plus leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1467 |
| BigCodeBench Complete | 7.9% | — |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3.6 Plus: —
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| Chess Puzzles | 0% | 17% |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Thematic Generalization | — | 59.5% |
| LMArena Hard Prompts | — | 1449 |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Qwen3.6 Plus leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | 93.3% |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| LMArena Math | — | 1450 |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| GPQA Diamond | 33.6% | 88.4% |
| SimpleQA Verified | — | 44.1% |
| LMArena Expert | — | 1454 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3.6 Plus: 53.3 (#70)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | — | 1424 |
| LMArena Chinese | — | 1477 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Russian | — | 1434 |
| LMArena Spanish | — | 1432 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3.6 Plus: 75.0 (#74)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | — | 1425 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3.6 Plus: 45.2 (#49)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| CL-bench | — | 20.3% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Qwen3.6 Plus: 62.2 (#82)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | — | 1437 |
| LMArena Creative Writing | — | 1404 |
| LMArena Multi-Turn | — | 1438 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Qwen3.6 Plus share?
3 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Qwen3.6 Plus has 37.