Model comparison
Dolly 2.0-12b vs o3
o3 is the stronger model overall, scoring 47.4 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
DatabricksSummary
- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and o3 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3 leads 63.7 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | o3 | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 24.9 | 47.4 |
| Released | 2023-04-11 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 17 | 63 |
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Category by category
Coding o3 leads
Dolly 2.0-12b: 23.0 (#327), o3: 47.3 (#57)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Coding | 776 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, o3: 34.3 (#42)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Dolly 2.0-12b: 14.6 (#315), o3: 32.1 (#66)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1402 |
| Epoch Capabilities Index | 88.94 | 146.88 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| ForecastBench | — | 62.5 |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math o3 leads
Dolly 2.0-12b: 25.0 (#250), o3: 48.9 (#49)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Math | 871 | 1426 |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
Dolly 2.0-12b: —, o3: 54.5 (#47)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1403 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, o3: 40.7 (#35)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual o3 leads
Dolly 2.0-12b: 17.4 (#291), o3: 51.9 (#99)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Non-English | 836 | 1402 |
| LMArena Chinese | 836 | 1438 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1404 |
| LMArena Korean | — | 1371 |
| LMArena Russian | — | 1407 |
| LMArena Spanish | — | 1395 |
Instruction Following o3 leads
Dolly 2.0-12b: 38.9 (#299), o3: 73.0 (#122)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Instruction Following | 814 | 1368 |
| IFEval | — | 86.9% |
Long Context Not comparable
Dolly 2.0-12b: —, o3: 53.2 (#6)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |
Writing & Preference o3 leads
Dolly 2.0-12b: 15.3 (#306), o3: 63.7 (#62)
| Benchmark | Dolly 2.0-12b | o3 |
|---|---|---|
| LMArena Text | 851 | 1410 |
| LMArena Creative Writing | 864 | 1359 |
| LMArena Multi-Turn | 740 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
Frequently asked questions
Is Dolly 2.0-12b better than o3?
o3 is the stronger model overall, scoring 47.4 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or o3 better for coding?
o3 scores higher on coding benchmarks: 47.3 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and o3 share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and o3 has 63.