Model comparison
Dolly 2.0-12b vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
Databricks
Mistral AISummary
- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Mistral Medium 3.5 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.6 to 15.3.
Side by side
| Dolly 2.0-12b | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Databricks | Mistral AI |
| Noometry Index | 24.9 | 39.6 |
| Released | 2023-04-11 | — |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 210K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 17 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Dolly 2.0-12b: 23.0 (#327), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 776 | 1461 |
| LMArena WebDev | — | 1263 |
Reasoning Mistral Medium 3.5 leads
Dolly 2.0-12b: 14.6 (#315), Mistral Medium 3.5: 16.6 (#290)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1436 |
| Epoch Capabilities Index | 88.94 | 141.42 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Mistral Medium 3.5 leads
Dolly 2.0-12b: 25.0 (#250), Mistral Medium 3.5: 36.4 (#113)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 871 | 1432 |
Knowledge Not comparable
Dolly 2.0-12b: —, Mistral Medium 3.5: 39.3 (#123)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1431 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multimodal Not comparable
Dolly 2.0-12b: —, Mistral Medium 3.5: 37.6 (#64)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Mistral Medium 3.5 leads
Dolly 2.0-12b: 17.4 (#291), Mistral Medium 3.5: 52.1 (#93)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 836 | 1405 |
| LMArena Chinese | 836 | 1443 |
| LMArena French | — | 1448 |
| LMArena German | — | 1453 |
| LMArena Korean | — | 1387 |
| LMArena Russian | — | 1396 |
| LMArena Spanish | — | 1406 |
Instruction Following Mistral Medium 3.5 leads
Dolly 2.0-12b: 38.9 (#299), Mistral Medium 3.5: 74.7 (#87)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 814 | 1414 |
Long Context Not comparable
Dolly 2.0-12b: —, Mistral Medium 3.5: 43.2 (#101)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1414 |
Writing & Preference Mistral Medium 3.5 leads
Dolly 2.0-12b: 15.3 (#306), Mistral Medium 3.5: 58.6 (#113)
| Benchmark | Dolly 2.0-12b | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 851 | 1421 |
| LMArena Creative Writing | 864 | 1372 |
| LMArena Multi-Turn | 740 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Dolly 2.0-12b better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 39.6 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 35.7 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and Mistral Medium 3.5 share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Mistral Medium 3.5 has 22.