Model comparison
Qwen1.5-7B vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 31.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Qwen1.5-7B scores higher in 0 categories and Qwen3.6 Plus in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.6 Plus leads 62.2 to 29.6.
- Qwen1.5-7B has downloadable open weights; the other is API-only.
Side by side
| Qwen1.5-7B | Qwen3.6 Plus | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 31.4 | 47.5 |
| Released | 2024-02-04 | 2026-03-31 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 13 | 37 |
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Category by category
Coding Qwen3.6 Plus leads
Qwen1.5-7B: 32.2 (#276), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Coding | 1107 | 1467 |
| SWE-bench Verified | — | 57.9% |
| LMArena WebDev | — | 1461 |
| SciCode | — | 40.7% |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
Qwen1.5-7B: —, Qwen3.6 Plus: —
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Qwen3.6 Plus leads
Qwen1.5-7B: 20.4 (#240), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Hard Prompts | 1065 | 1449 |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Qwen3.6 Plus leads
Qwen1.5-7B: 31.4 (#224), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1080 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
Qwen1.5-7B: 28.7 (#243), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1055 | 1454 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
| MMLU | 62.6% | — |
Multilingual Qwen3.6 Plus leads
Qwen1.5-7B: 28.5 (#271), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1058 | 1424 |
| LMArena Chinese | 1141 | 1477 |
| LMArena Russian | 1006 | 1434 |
| LMArena French | — | 1455 |
| LMArena German | — | 1452 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1379 |
| LMArena Spanish | — | 1432 |
Instruction Following Qwen3.6 Plus leads
Qwen1.5-7B: 54.1 (#281), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1058 | 1425 |
Long Context Qwen3.6 Plus leads
Qwen1.5-7B: 33.1 (#266), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1090 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Qwen3.6 Plus leads
Qwen1.5-7B: 29.6 (#293), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | Qwen1.5-7B | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1083 | 1437 |
| LMArena Creative Writing | 1035 | 1404 |
| LMArena Multi-Turn | 1062 | 1438 |
Frequently asked questions
Is Qwen1.5-7B better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 31.4 on the Noometry Index.
Is Qwen1.5-7B or Qwen3.6 Plus better for coding?
Qwen3.6 Plus scores higher on coding benchmarks: 40.8 versus 32.2 in the Noometry coding category.
How many benchmarks do Qwen1.5-7B and Qwen3.6 Plus share?
12 benchmarks have published results for both models. Qwen1.5-7B has 13 scored results on Noometry and Qwen3.6 Plus has 37.