Model comparison
Dolly 2.0-12b vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index.
Last verified . 9 shared benchmarks.
Databricks
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.0 to 15.2.
Side by side
| Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 25.5 | 43.0 |
| Released | 2023-04-11 | 2025-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $2 |
| Results tracked | 17 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 23.4 (#332), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 776 | 1440 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 15.3 (#316), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 804 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 27.3 (#251), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 871 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Not comparable
Dolly 2.0-12b: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 17.4 (#296), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 836 | 1407 |
| LMArena Chinese | 836 | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 38.7 (#304), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 814 | 1389 |
| IFEval | — | 81% |
Long Context Not comparable
Dolly 2.0-12b: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Dolly 2.0-12b: 15.2 (#311), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Dolly 2.0-12b | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 851 | 1417 |
| LMArena Creative Writing | 864 | 1334 |
| LMArena Multi-Turn | 740 | 1416 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Dolly 2.0-12b better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Qwen3-Next 80B-A3B Instruct share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.