Model comparison
Dolly 2.0-12b vs GPT-4o mini
Dolly 2.0-12b and GPT-4o mini score almost the same on the Noometry Index (25.5 vs 25.5), so choose on price, context window or the category you care about most.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Dolly 2.0-12b scores higher in 3 categories and GPT-4o mini in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4o mini leads 42.0 to 17.4.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | GPT-4o mini | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 25.5 | 25.5 |
| Released | 2023-04-11 | 2024-07-18 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 17 | 60 |
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Category by category
Coding Dolly 2.0-12b leads
Dolly 2.0-12b: 23.4 (#332), GPT-4o mini: 22.0 (#335)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Coding | 776 | 1290 |
| Aider Polyglot | — | 3.6% |
| WeirdML | — | 11.8% |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, GPT-4o mini: 27.5 (#101)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| BALROG | — | 17.4% |
Reasoning Dolly 2.0-12b leads
Dolly 2.0-12b: 15.3 (#316), GPT-4o mini: 8.7 (#347)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Hard Prompts | 804 | 1267 |
| Epoch Capabilities Index | 89.67 | 126.56 |
| PIQA | 75.4% | 88.7% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| Kagi LLM Benchmark | — | 28.8% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 32.8% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 54.4% |
| LiveBench Data Analysis | — | 50% |
| LMCA | — | 10.4% |
| HellaSwag | 70.8% | — |
| LiveBench | — | 41.3% |
| WinoGrande | 61.8% | — |
Math Dolly 2.0-12b leads
Dolly 2.0-12b: 27.3 (#251), GPT-4o mini: 10.4 (#314)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Math | 871 | 1267 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.9% |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge Not comparable
Dolly 2.0-12b: —, GPT-4o mini: 17.7 (#284)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| BoolQ | 56.3% | 88.7% |
| MMLU | 26.2% | 81.8% |
| GPQA Diamond | — | 37.7% |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| GPQA (HELM) | — | 36.8% |
| LMArena Expert | — | 1235 |
| ARC (AI2) Challenge | 39.6% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, GPT-4o mini: 25.9 (#122)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
Multilingual GPT-4o mini leads
Dolly 2.0-12b: 17.4 (#296), GPT-4o mini: 42.0 (#199)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 836 | 1266 |
| LMArena Chinese | 836 | 1265 |
| LMArena French | — | 1297 |
| LMArena German | — | 1272 |
| LMArena Japanese | — | 1216 |
| LMArena Korean | — | 1195 |
| LMArena Russian | — | 1275 |
| LMArena Spanish | — | 1276 |
Instruction Following GPT-4o mini leads
Dolly 2.0-12b: 38.7 (#304), GPT-4o mini: 61.9 (#239)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 814 | 1258 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
Long Context Not comparable
Dolly 2.0-12b: —, GPT-4o mini: 39.1 (#186)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | — | 1289 |
Writing & Preference GPT-4o mini leads
Dolly 2.0-12b: 15.2 (#311), GPT-4o mini: 39.5 (#248)
| Benchmark | Dolly 2.0-12b | GPT-4o mini |
|---|---|---|
| LMArena Text | 851 | 1286 |
| LMArena Creative Writing | 864 | 1268 |
| LMArena Multi-Turn | 740 | 1285 |
| Short-Story Creative Writing | — | 67.2% |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is Dolly 2.0-12b better than GPT-4o mini?
Dolly 2.0-12b and GPT-4o mini score almost the same on the Noometry Index (25.5 vs 25.5), so choose on price, context window or the category you care about most.
Is Dolly 2.0-12b or GPT-4o mini better for coding?
Dolly 2.0-12b scores higher on coding benchmarks: 23.4 versus 22.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and GPT-4o mini share?
13 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-4o mini has 60.