Model comparison
DBRX vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 29.0 on the Noometry Index.
Last verified . 1 shared benchmarks.
Databricks
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DBRX scores higher in 0 categories and Qwen3.6 27B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 14.9.
- The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 85.9% for Qwen3.6 27B.
Side by side
| DBRX | Qwen3.6 27B | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 29.0 | 41.9 |
| Released | 2024-03-27 | 2026-04-22 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.60 |
| Output $ / M tokens | — | $3.60 |
| Results tracked | 21 | 11 |
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Category by category
Coding Qwen3.6 27B leads
DBRX: 32.3 (#262), Qwen3.6 27B: 38.5 (#162)
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
| LMArena Coding | 1132 | — |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning Qwen3.6 27B leads
DBRX: 20.5 (#218), Qwen3.6 27B: 24.4 (#148)
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1113 | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.47 |
Math Qwen3.6 27B leads
DBRX: 22.3 (#265), Qwen3.6 27B: 47.5 (#56)
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | 1145 | — |
| MATH Level 5 | 11.7% | — |
Knowledge Qwen3.6 27B leads
DBRX: 14.9 (#289), Qwen3.6 27B: 52.4 (#58)
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 32.9% | 85.9% |
| LMArena Expert | 1076 | — |
Multilingual Not comparable
DBRX: 29.4 (#263), Qwen3.6 27B: —
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1071 | — |
| LMArena Chinese | 1068 | — |
| LMArena French | 1095 | — |
| LMArena German | 1057 | — |
| LMArena Japanese | 990 | — |
| LMArena Korean | 993 | — |
| LMArena Russian | 1078 | — |
| LMArena Spanish | 1064 | — |
Instruction Following Not comparable
DBRX: 57.7 (#265), Qwen3.6 27B: —
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1112 | — |
Long Context Not comparable
DBRX: 33.7 (#253), Qwen3.6 27B: —
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1112 | — |
Writing & Preference Qwen3.6 27B leads
DBRX: 33.7 (#271), Qwen3.6 27B: 50.3 (#180)
| Benchmark | DBRX | Qwen3.6 27B |
|---|---|---|
| LMArena Text | 1119 | — |
| LMArena Creative Writing | 1104 | — |
| EQ-Bench 4 | — | 1026 |
| LMArena Multi-Turn | 1111 | — |
Frequently asked questions
Is DBRX better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 29.0 on the Noometry Index.
Is DBRX or Qwen3.6 27B better for coding?
Qwen3.6 27B scores higher on coding benchmarks: 38.5 versus 32.3 in the Noometry coding category.
How many benchmarks do DBRX and Qwen3.6 27B share?
1 benchmark has published results for both models. DBRX has 21 scored results on Noometry and Qwen3.6 27B has 11.