Model comparison
Dolly 2.0-12b vs Mistral Large 3
Mistral Large 3 is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Mistral Large 3 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.2 to 15.3.
Side by side
| Dolly 2.0-12b | Mistral Large 3 | |
|---|---|---|
| Provider | Databricks | Mistral AI |
| Noometry Index | 24.9 | 38.6 |
| Released | 2023-04-11 | 2025-12-02 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 17 | 24 |
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Category by category
Coding Mistral Large 3 leads
Dolly 2.0-12b: 23.0 (#327), Mistral Large 3: 34.1 (#230)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Coding | 776 | 1447 |
| LMArena WebDev | — | 1230 |
Reasoning Too close to call
Dolly 2.0-12b: 14.6 (#315), Mistral Large 3: 14.6 (#314)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1429 |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| Epoch Capabilities Index | 88.94 | — |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Mistral Large 3 leads
Dolly 2.0-12b: 25.0 (#250), Mistral Large 3: 36.0 (#131)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Math | 871 | 1415 |
Knowledge Not comparable
Dolly 2.0-12b: —, Mistral Large 3: 35.5 (#173)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, Mistral Large 3: 37.6 (#65)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Mistral Large 3 leads
Dolly 2.0-12b: 17.4 (#291), Mistral Large 3: 52.6 (#79)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 836 | 1412 |
| LMArena Chinese | 836 | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1437 |
Instruction Following Mistral Large 3 leads
Dolly 2.0-12b: 38.9 (#299), Mistral Large 3: 74.1 (#104)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 814 | 1402 |
Long Context Not comparable
Dolly 2.0-12b: —, Mistral Large 3: 43.1 (#102)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Mistral Large 3 leads
Dolly 2.0-12b: 15.3 (#306), Mistral Large 3: 60.2 (#100)
| Benchmark | Dolly 2.0-12b | Mistral Large 3 |
|---|---|---|
| LMArena Text | 851 | 1427 |
| LMArena Creative Writing | 864 | 1385 |
| LMArena Multi-Turn | 740 | 1429 |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is Dolly 2.0-12b better than Mistral Large 3?
Mistral Large 3 is the stronger model overall, scoring 38.6 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or Mistral Large 3 better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.1 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Mistral Large 3 share?
9 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Mistral Large 3 has 24.