Model comparison
Dolly 2.0-12b vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 25.5 on the Noometry Index.
Last verified . 10 shared benchmarks.
Databricks
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3.7 Max in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Max leads 65.0 to 15.2.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | Qwen3.7 Max | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 25.5 | 51.5 |
| Released | 2023-04-11 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 17 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Dolly 2.0-12b: 23.4 (#332), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 776 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, Qwen3.7 Max: 22.1 (#135)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Dolly 2.0-12b: 15.3 (#316), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 804 | 1483 |
| Epoch Capabilities Index | 89.67 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Qwen3.7 Max leads
Dolly 2.0-12b: 27.3 (#251), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 871 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
Knowledge Not comparable
Dolly 2.0-12b: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Qwen3.7 Max leads
Dolly 2.0-12b: 17.4 (#296), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 836 | 1474 |
| LMArena Chinese | 836 | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Qwen3.7 Max leads
Dolly 2.0-12b: 38.7 (#304), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 814 | 1460 |
Long Context Not comparable
Dolly 2.0-12b: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Qwen3.7 Max leads
Dolly 2.0-12b: 15.2 (#311), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Dolly 2.0-12b | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 851 | 1476 |
| LMArena Creative Writing | 864 | 1449 |
| LMArena Multi-Turn | 740 | 1481 |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Dolly 2.0-12b better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Qwen3.7 Max share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3.7 Max has 33.