Model comparison
Dolly 2.0-12b vs Mercury 2
Mercury 2 is the stronger model overall, scoring 39.1 to 25.5 on the Noometry Index.
Last verified . 8 shared benchmarks.
DatabricksSummary
- They share 8 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Mercury 2 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury 2 leads 53.8 to 15.2.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | Mercury 2 | |
|---|---|---|
| Provider | Databricks | Inception |
| Noometry Index | 25.5 | 39.1 |
| Released | 2023-04-11 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 50K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 17 | 17 |
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Category by category
Coding Mercury 2 leads
Dolly 2.0-12b: 23.4 (#332), Mercury 2: 33.5 (#255)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Coding | 776 | 1391 |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| ALE-Bench | — | 785.58 |
Reasoning Mercury 2 leads
Dolly 2.0-12b: 15.3 (#316), Mercury 2: 23.8 (#170)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1362 |
| CritPt | — | 0.8% |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Not comparable
Dolly 2.0-12b: 27.3 (#251), Mercury 2: —
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Math | 871 | — |
Knowledge Not comparable
Dolly 2.0-12b: —, Mercury 2: 36.2 (#172)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.3% |
| LMArena Expert | — | 1358 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Mercury 2 leads
Dolly 2.0-12b: 17.4 (#296), Mercury 2: 46.6 (#157)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Non-English | 836 | 1331 |
| LMArena Chinese | 836 | 1417 |
| LMArena Russian | — | 1304 |
Instruction Following Mercury 2 leads
Dolly 2.0-12b: 38.7 (#304), Mercury 2: 70.2 (#165)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 814 | 1329 |
Long Context Not comparable
Dolly 2.0-12b: —, Mercury 2: 40.5 (#154)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Longer Query | — | 1330 |
Writing & Preference Mercury 2 leads
Dolly 2.0-12b: 15.2 (#311), Mercury 2: 53.8 (#155)
| Benchmark | Dolly 2.0-12b | Mercury 2 |
|---|---|---|
| LMArena Text | 851 | 1355 |
| LMArena Creative Writing | 864 | 1289 |
| LMArena Multi-Turn | 740 | 1358 |
Frequently asked questions
Is Dolly 2.0-12b better than Mercury 2?
Mercury 2 is the stronger model overall, scoring 39.1 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Mercury 2 better for coding?
Mercury 2 scores higher on coding benchmarks: 33.5 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Mercury 2 share?
8 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Mercury 2 has 17.