Model comparison
Dolly 2.0-12b vs Mistral Large
Mistral Large is the stronger model overall, scoring 31.9 to 25.5 on the Noometry Index.
Last verified . 11 shared benchmarks.
Databricks
Mistral AISummary
- They share 11 benchmarks with published results for both. Dolly 2.0-12b scores higher in 1 category and Mistral Large in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 38.7.
Side by side
| Dolly 2.0-12b | Mistral Large | |
|---|---|---|
| Provider | Databricks | Mistral AI |
| Noometry Index | 25.5 | 31.9 |
| Released | 2023-04-11 | 2024-02-26 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 17 | 51 |
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Category by category
Coding Mistral Large leads
Dolly 2.0-12b: 23.4 (#332), Mistral Large: 34.3 (#240)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Coding | 776 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, Mistral Large: 28.6 (#89)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Too close to call
Dolly 2.0-12b: 15.3 (#316), Mistral Large: 15.8 (#310)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 804 | 1257 |
| Epoch Capabilities Index | 89.67 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| HellaSwag | 70.8% | — |
| LiveBench | — | 48.4% |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Dolly 2.0-12b leads
Dolly 2.0-12b: 27.3 (#251), Mistral Large: 18.2 (#291)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Math | 871 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Dolly 2.0-12b: —, Mistral Large: 30.1 (#230)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| MMLU | 26.2% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| OpenBookQA | 39.2% | — |
Multilingual Mistral Large leads
Dolly 2.0-12b: 17.4 (#296), Mistral Large: 40.0 (#219)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Non-English | 836 | 1237 |
| LMArena Chinese | 836 | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Mistral Large leads
Dolly 2.0-12b: 38.7 (#304), Mistral Large: 67.9 (#191)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 814 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Not comparable
Dolly 2.0-12b: —, Mistral Large: 38.3 (#199)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Mistral Large leads
Dolly 2.0-12b: 15.2 (#311), Mistral Large: 40.7 (#242)
| Benchmark | Dolly 2.0-12b | Mistral Large |
|---|---|---|
| LMArena Text | 851 | 1266 |
| LMArena Creative Writing | 864 | 1243 |
| LMArena Multi-Turn | 740 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Dolly 2.0-12b better than Mistral Large?
Mistral Large is the stronger model overall, scoring 31.9 to 25.5 on the Noometry Index.
Is Dolly 2.0-12b or Mistral Large better for coding?
Mistral Large scores higher on coding benchmarks: 34.3 versus 23.4 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Mistral Large share?
11 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Mistral Large has 51.