Model comparison
Dolly 2.0-12b vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 36.9 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 1 category and GPT-4.5 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 57.1 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | GPT-4.5 | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 24.9 | 36.9 |
| Released | 2023-04-11 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 42 |
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Category by category
Coding GPT-4.5 leads
Dolly 2.0-12b: 23.0 (#327), GPT-4.5: 41.8 (#102)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Coding | 776 | 1397 |
| Aider Polyglot | — | 44.9% |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, GPT-4.5: 27.6 (#92)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |
Reasoning Too close to call
Dolly 2.0-12b: 14.6 (#315), GPT-4.5: 14.1 (#320)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1404 |
| Epoch Capabilities Index | 88.94 | 136.74 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| LiveBench Data Analysis | — | 64.3% |
| ForecastBench | — | 61.7 |
| HellaSwag | 70.8% | — |
| LiveBench | — | 69% |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math GPT-4.5 leads
Dolly 2.0-12b: 25.0 (#250), GPT-4.5: 31.0 (#200)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Math | 871 | 1412 |
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
Knowledge Not comparable
Dolly 2.0-12b: —, GPT-4.5: 32.4 (#205)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| LMArena Expert | — | 1394 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, GPT-4.5: 37.0 (#68)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GPT-4.5 leads
Dolly 2.0-12b: 17.4 (#291), GPT-4.5: 52.7 (#78)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 836 | 1413 |
| LMArena Chinese | 836 | 1421 |
| LMArena French | — | 1417 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |
| LMArena Russian | — | 1419 |
Instruction Following GPT-4.5 leads
Dolly 2.0-12b: 38.9 (#299), GPT-4.5: 72.8 (#129)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 814 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context Not comparable
Dolly 2.0-12b: —, GPT-4.5: 40.4 (#150)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 63.9% |
| LMArena Longer Query | — | 1406 |
Writing & Preference GPT-4.5 leads
Dolly 2.0-12b: 15.3 (#306), GPT-4.5: 57.1 (#129)
| Benchmark | Dolly 2.0-12b | GPT-4.5 |
|---|---|---|
| LMArena Text | 851 | 1417 |
| LMArena Creative Writing | 864 | 1394 |
| LMArena Multi-Turn | 740 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Dolly 2.0-12b better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 36.9 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 41.8 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and GPT-4.5 share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-4.5 has 42.