Model comparison
Dolly 2.0-12b vs Qwen3 14B
Qwen3 14B is the stronger model overall, scoring 35.0 to 24.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3 14B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3 14B leads 36.7 to 23.0.
Side by side
| Dolly 2.0-12b | Qwen3 14B | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 24.9 | 35.0 |
| Released | 2023-04-11 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 17 | 12 |
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Category by category
Coding Qwen3 14B leads
Dolly 2.0-12b: 23.0 (#327), Qwen3 14B: 36.7 (#191)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 776 | — |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, Qwen3 14B: 29.4 (#78)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Qwen3 14B leads
Dolly 2.0-12b: 14.6 (#315), Qwen3 14B: 18.1 (#272)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| Epoch Capabilities Index | 88.94 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 804 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Qwen3 14B leads
Dolly 2.0-12b: 25.0 (#250), Qwen3 14B: 37.0 (#102)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 871 | — |
Knowledge Not comparable
Dolly 2.0-12b: —, Qwen3 14B: 39.2 (#124)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Not comparable
Dolly 2.0-12b: 17.4 (#291), Qwen3 14B: —
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 836 | — |
| LMArena Chinese | 836 | — |
Instruction Following Not comparable
Dolly 2.0-12b: 38.9 (#299), Qwen3 14B: —
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 814 | — |
Long Context Not comparable
Dolly 2.0-12b: —, Qwen3 14B: 38.0 (#201)
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
Writing & Preference Not comparable
Dolly 2.0-12b: 15.3 (#306), Qwen3 14B: —
| Benchmark | Dolly 2.0-12b | Qwen3 14B |
|---|---|---|
| LMArena Text | 851 | — |
| LMArena Creative Writing | 864 | — |
| LMArena Multi-Turn | 740 | — |
Frequently asked questions
Is Dolly 2.0-12b better than Qwen3 14B?
Qwen3 14B is the stronger model overall, scoring 35.0 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or Qwen3 14B better for coding?
Qwen3 14B scores higher on coding benchmarks: 36.7 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Qwen3 14B share?
1 benchmark has published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3 14B has 12.