Model comparison
Dolly 2.0-12b vs Mistral
Mistral is the stronger model overall, scoring 29.9 to 25.5 on the Noometry Index.
Last verified . 9 shared benchmarks.
Databricks
Mistral AISummary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 1 category and Mistral in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral leads 37.0 to 15.2.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | Mistral | |
|---|---|---|
| Provider | Databricks | Mistral AI |
| Noometry Index | 25.5 | 29.9 |
| Released | 2023-04-11 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 22 |
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Category by category
Coding Mistral leads
Dolly 2.0-12b: 23.4 (#332), Mistral: 33.8 (#250)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Coding | 776 | 1162 |
Reasoning Mistral leads
Dolly 2.0-12b: 15.3 (#316), Mistral: 22.2 (#200)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Hard Prompts | 804 | 1149 |
| Epoch Capabilities Index | 89.67 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Dolly 2.0-12b leads
Dolly 2.0-12b: 27.3 (#251), Mistral: 22.3 (#278)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Math | 871 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge Not comparable
Dolly 2.0-12b: —, Mistral: 16.6 (#288)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
| LMArena Expert | — | 1125 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Mistral leads
Dolly 2.0-12b: 17.4 (#296), Mistral: 32.8 (#254)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Non-English | 836 | 1129 |
| LMArena Chinese | 836 | 1109 |
| LMArena French | — | 1180 |
| LMArena German | — | 1155 |
| LMArena Japanese | — | 1013 |
| LMArena Korean | — | 1032 |
| LMArena Russian | — | 1168 |
| LMArena Spanish | — | 1143 |
Instruction Following Mistral leads
Dolly 2.0-12b: 38.7 (#304), Mistral: 52.6 (#288)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Instruction Following | 814 | 1152 |
| IFEval | — | 56.8% |
Long Context Not comparable
Dolly 2.0-12b: —, Mistral: 35.0 (#245)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Longer Query | — | 1153 |
Writing & Preference Mistral leads
Dolly 2.0-12b: 15.2 (#311), Mistral: 37.0 (#260)
| Benchmark | Dolly 2.0-12b | Mistral |
|---|---|---|
| LMArena Text | 851 | 1165 |
| LMArena Creative Writing | 864 | 1158 |
| LMArena Multi-Turn | 740 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Dolly 2.0-12b better than Mistral?
Mistral is the stronger model overall, scoring 29.9 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Mistral share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Mistral has 22.