Model comparison
Dolly 2.0-12b vs Grok 3
Grok 3 is the stronger model overall, scoring 39.6 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 1 category and Grok 3 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 3 leads 56.0 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | Grok 3 | |
|---|---|---|
| Provider | Databricks | xAI |
| Noometry Index | 24.9 | 39.6 |
| Released | 2023-04-11 | 2025-04-09 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 40 |
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Category by category
Coding Grok 3 leads
Dolly 2.0-12b: 23.0 (#327), Grok 3: 41.5 (#113)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Coding | 776 | 1432 |
| Aider Polyglot | — | 53.3% |
| WeirdML | — | 37.2% |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, Grok 3: 30.2 (#69)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |
Reasoning Too close to call
Dolly 2.0-12b: 14.6 (#315), Grok 3: 13.8 (#322)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1433 |
| Epoch Capabilities Index | 88.94 | 138.34 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Grok 3 leads
Dolly 2.0-12b: 25.0 (#250), Grok 3: 36.2 (#122)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Math | 871 | 1390 |
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| Omni-MATH | — | 46.4% |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
Dolly 2.0-12b: —, Grok 3: 46.0 (#76)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1420 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Grok 3 leads
Dolly 2.0-12b: 17.4 (#291), Grok 3: 52.5 (#81)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Non-English | 836 | 1411 |
| LMArena Chinese | 836 | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1431 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1374 |
| LMArena Russian | — | 1416 |
| LMArena Spanish | — | 1417 |
Instruction Following Grok 3 leads
Dolly 2.0-12b: 38.9 (#299), Grok 3: 75.2 (#69)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 814 | 1409 |
| IFEval | — | 88.4% |
Long Context Not comparable
Dolly 2.0-12b: —, Grok 3: 38.7 (#187)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| Fiction.LiveBench | — | 58.3% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Grok 3 leads
Dolly 2.0-12b: 15.3 (#306), Grok 3: 56.0 (#136)
| Benchmark | Dolly 2.0-12b | Grok 3 |
|---|---|---|
| LMArena Text | 851 | 1426 |
| LMArena Creative Writing | 864 | 1414 |
| LMArena Multi-Turn | 740 | 1424 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |
Frequently asked questions
Is Dolly 2.0-12b better than Grok 3?
Grok 3 is the stronger model overall, scoring 39.6 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or Grok 3 better for coding?
Grok 3 scores higher on coding benchmarks: 41.5 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Grok 3 share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Grok 3 has 40.