Model comparison
Dolly 2.0-12b vs GPT-5 Mini
GPT-5 Mini is the stronger model overall, scoring 41.7 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 GPT-5 Mini in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5 Mini leads 55.4 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | GPT-5 Mini | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 24.9 | 41.7 |
| Released | 2023-04-11 | 2025-08-07 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $2 |
| Results tracked | 17 | 60 |
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Category by category
Coding GPT-5 Mini leads
Dolly 2.0-12b: 23.0 (#327), GPT-5 Mini: 40.0 (#134)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Coding | 776 | 1406 |
| SWE-bench Verified | — | 64.7% |
| SWE-bench Verified (bash only) | — | 59.8% |
| SWE-bench Multilingual | — | 39.7% |
| SciCode | — | 39.2% |
| WeirdML | — | 52.7% |
| ALE-Bench | — | 799.77 |
| AlgoTune | — | 1.38 |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, GPT-5 Mini: 31.0 (#64)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| Terminal-Bench | — | 34.8% |
| Berkeley Function Calling Leaderboard | — | 55.5% |
| Vending-Bench 2 | — | -31.18 |
Reasoning GPT-5 Mini leads
Dolly 2.0-12b: 14.6 (#315), GPT-5 Mini: 24.1 (#153)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Hard Prompts | 804 | 1380 |
| Epoch Capabilities Index | 88.94 | 145.51 |
| ARC-AGI-2 | — | 4.4% |
| Kagi LLM Benchmark | — | 70.3% |
| ARC-AGI-1 | — | 54.3% |
| CritPt | — | 0% |
| Chess Puzzles | — | 30% |
| EnigmaEval | — | 8.2% |
| Mystery Game Puzzles | — | 10% |
| DTBench | — | 80.5% |
| LMCA | — | 34.2% |
| ForecastBench | — | 61 |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math GPT-5 Mini leads
Dolly 2.0-12b: 25.0 (#250), GPT-5 Mini: 46.3 (#59)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Math | 871 | 1377 |
| FrontierMath (Tiers 1-3) | — | 46.7% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| ProofBench | — | 9% |
| Omni-MATH | — | 72.2% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 27.2% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge Not comparable
Dolly 2.0-12b: —, GPT-5 Mini: 45.5 (#80)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | — | 75% |
| Humanity's Last Exam | — | 19.4% |
| SimpleQA Verified | — | 21.6% |
| MMLU-Pro | — | 83.5% |
| Confabulations | — | 13.3% |
| Vectara Hallucination Rate | — | 12.9% |
| GPQA (HELM) | — | 75.6% |
| LMArena Expert | — | 1377 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, GPT-5 Mini: 35.0 (#80)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Vision | — | 1202 |
| VPCT | — | 40.2% |
Multilingual GPT-5 Mini leads
Dolly 2.0-12b: 17.4 (#291), GPT-5 Mini: 49.1 (#131)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 836 | 1363 |
| LMArena Chinese | 836 | 1387 |
| LMArena French | — | 1385 |
| LMArena German | — | 1366 |
| LMArena Japanese | — | 1342 |
| LMArena Korean | — | 1306 |
| LMArena Russian | — | 1362 |
| LMArena Spanish | — | 1355 |
Instruction Following GPT-5 Mini leads
Dolly 2.0-12b: 38.9 (#299), GPT-5 Mini: 76.4 (#43)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 814 | 1357 |
| IFEval | — | 92.7% |
Long Context Not comparable
Dolly 2.0-12b: —, GPT-5 Mini: 41.9 (#127)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| Fiction.LiveBench | — | 69.4% |
| LMArena Longer Query | — | 1355 |
Writing & Preference GPT-5 Mini leads
Dolly 2.0-12b: 15.3 (#306), GPT-5 Mini: 55.4 (#143)
| Benchmark | Dolly 2.0-12b | GPT-5 Mini |
|---|---|---|
| LMArena Text | 851 | 1373 |
| LMArena Creative Writing | 864 | 1325 |
| LMArena Multi-Turn | 740 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| EQ-Bench Creative Writing | — | 1313 |
| WildBench | — | 85.5% |
Frequently asked questions
Is Dolly 2.0-12b better than GPT-5 Mini?
GPT-5 Mini is the stronger model overall, scoring 41.7 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or GPT-5 Mini better for coding?
GPT-5 Mini scores higher on coding benchmarks: 40.0 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and GPT-5 Mini share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and GPT-5 Mini has 60.