Model comparison
Dolly 2.0-12b vs MiniMax-M2.7
MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 24.9 on the Noometry Index.
Last verified . 10 shared benchmarks.
Databricks
MiniMaxSummary
- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 1 category and MiniMax-M2.7 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 59.1 to 15.3.
Side by side
| Dolly 2.0-12b | MiniMax-M2.7 | |
|---|---|---|
| Provider | Databricks | MiniMax |
| Noometry Index | 24.9 | 37.4 |
| Released | 2023-04-11 | 2026-03-18 |
| Weights | Open | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 17 | 30 |
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Category by category
Coding MiniMax-M2.7 leads
Dolly 2.0-12b: 23.0 (#327), MiniMax-M2.7: 41.4 (#115)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 776 | 1454 |
| LMArena WebDev | — | 1397 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| ALE-Bench | — | 599.25 |
Agentic & Tool Use Not comparable
Dolly 2.0-12b: —, MiniMax-M2.7: 24.9 (#103)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |
Reasoning MiniMax-M2.7 leads
Dolly 2.0-12b: 14.6 (#315), MiniMax-M2.7: 19.0 (#248)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 804 | 1422 |
| Epoch Capabilities Index | 88.94 | 145.84 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Thematic Generalization | — | 39.3% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Too close to call
Dolly 2.0-12b: 25.0 (#250), MiniMax-M2.7: 24.9 (#254)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 871 | 1420 |
| ProofBench | — | 3% |
Knowledge Not comparable
Dolly 2.0-12b: —, MiniMax-M2.7: 37.1 (#151)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| Vectara Hallucination Rate | — | 12.9% |
| LMArena Expert | — | 1443 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual MiniMax-M2.7 leads
Dolly 2.0-12b: 17.4 (#291), MiniMax-M2.7: 50.5 (#120)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 836 | 1382 |
| LMArena Chinese | 836 | 1439 |
| LMArena French | — | 1422 |
| LMArena German | — | 1398 |
| LMArena Japanese | — | 1261 |
| LMArena Korean | — | 1313 |
| LMArena Russian | — | 1383 |
| LMArena Spanish | — | 1403 |
Instruction Following MiniMax-M2.7 leads
Dolly 2.0-12b: 38.9 (#299), MiniMax-M2.7: 74.2 (#101)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 814 | 1404 |
Long Context Not comparable
Dolly 2.0-12b: —, MiniMax-M2.7: 43.3 (#94)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | — | 1419 |
Writing & Preference MiniMax-M2.7 leads
Dolly 2.0-12b: 15.3 (#306), MiniMax-M2.7: 59.1 (#107)
| Benchmark | Dolly 2.0-12b | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 851 | 1404 |
| LMArena Creative Writing | 864 | 1354 |
| LMArena Multi-Turn | 740 | 1413 |
Frequently asked questions
Is Dolly 2.0-12b better than MiniMax-M2.7?
MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or MiniMax-M2.7 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.4 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and MiniMax-M2.7 share?
10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and MiniMax-M2.7 has 30.