# Dolly 2.0-12b vs Qwen3 Max

> Qwen3 Max is the stronger model overall, scoring 43.7 to 25.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/dolly-2-0-12b-vs-qwen3-max
- Last updated: 2026-10-12
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3 Max in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 Max leads 62.4 to 15.2.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.

## Snapshot

| | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 25.5 | 43.7 |
| Rank | 342 | 87 |
| Context | — | 262K |
| Input $/M | — | $1.20 |
| Output $/M | — | $6 |
| Weights | Open | Proprietary |

## Coding

- Dolly 2.0-12b: 23.4 (#332)
- Qwen3 Max: 43.0 (#93)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Coding | 776 | 1456 |
| ALE-Bench | — | 370.45 |

## Agentic & Tool Use

- Dolly 2.0-12b: —
- Qwen3 Max: —

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |

## Reasoning

- Dolly 2.0-12b: 15.3 (#316)
- Qwen3 Max: 22.6 (#190)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Hard Prompts | 804 | 1448 |
| Epoch Capabilities Index | 89.67 | 142.38 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |

## Math

- Dolly 2.0-12b: 27.3 (#251)
- Qwen3 Max: 38.7 (#131)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Math | 871 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| MATH Level 5 | — | 97.1% |

## Knowledge

- Dolly 2.0-12b: —
- Qwen3 Max: 48.1 (#78)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1455 |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |

## Multilingual

- Dolly 2.0-12b: 17.4 (#296)
- Qwen3 Max: 53.7 (#62)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 836 | 1429 |
| LMArena Chinese | 836 | 1478 |
| LMArena French | — | 1449 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1397 |
| LMArena Korean | — | 1399 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1462 |

## Instruction Following

- Dolly 2.0-12b: 38.7 (#304)
- Qwen3 Max: 74.8 (#87)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 814 | 1419 |

## Long Context

- Dolly 2.0-12b: —
- Qwen3 Max: 41.6 (#134)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1438 |

## Writing & Preference

- Dolly 2.0-12b: 15.2 (#311)
- Qwen3 Max: 62.4 (#76)

| Benchmark | Dolly 2.0-12b | Qwen3 Max |
|---|---|---|
| LMArena Text | 851 | 1439 |
| LMArena Creative Writing | 864 | 1402 |
| LMArena Multi-Turn | 740 | 1446 |

## FAQ

### Is Dolly 2.0-12b better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.7 to 25.5 on the Noometry Index.

### Is Dolly 2.0-12b or Qwen3 Max better for coding?

Qwen3 Max scores higher on coding benchmarks: 43.0 versus 23.4 in the Noometry coding category.

### How many benchmarks do Dolly 2.0-12b and Qwen3 Max share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3 Max has 33.