Model comparison
DBRX vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 29.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. DBRX scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5-Max leads 55.4 to 33.6.
- DBRX has downloadable open weights; the other is API-only.
Side by side
| DBRX | Qwen2.5-Max | |
|---|---|---|
| Provider | Databricks | Alibaba (Qwen) |
| Noometry Index | 29.4 | 40.7 |
| Released | 2024-03-27 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 27 |
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Category by category
Coding Qwen2.5-Max leads
DBRX: 32.9 (#266), Qwen2.5-Max: 41.8 (#117)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1132 | 1359 |
| LiveBench Coding | — | 64.4% |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning Qwen2.5-Max leads
DBRX: 21.4 (#222), Qwen2.5-Max: 25.6 (#147)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1360 |
| LiveBench Reasoning | — | 51.4% |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.53 |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
DBRX: 24.3 (#269), Qwen2.5-Max: 36.9 (#162)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1145 | 1369 |
| LiveBench Math | — | 58.4% |
| MATH Level 5 | 11.7% | — |
Knowledge Qwen2.5-Max leads
DBRX: 14.9 (#294), Qwen2.5-Max: 35.3 (#186)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1076 | 1337 |
| GPQA Diamond | 32.9% | — |
| Confabulations | — | 21.8% |
Multilingual Qwen2.5-Max leads
DBRX: 29.3 (#268), Qwen2.5-Max: 48.1 (#146)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1071 | 1352 |
| LMArena Chinese | 1068 | 1382 |
| LMArena French | 1096 | 1396 |
| LMArena German | 1057 | 1350 |
| LMArena Japanese | 990 | 1300 |
| LMArena Korean | 993 | 1304 |
| LMArena Russian | 1078 | 1353 |
| LMArena Spanish | 1064 | 1377 |
Instruction Following Qwen2.5-Max leads
DBRX: 57.5 (#270), Qwen2.5-Max: 71.3 (#152)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1112 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Qwen2.5-Max leads
DBRX: 33.7 (#258), Qwen2.5-Max: 41.4 (#142)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1112 | 1358 |
Writing & Preference Qwen2.5-Max leads
DBRX: 33.6 (#275), Qwen2.5-Max: 55.4 (#146)
| Benchmark | DBRX | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1119 | 1367 |
| LMArena Creative Writing | 1104 | 1339 |
| LMArena Multi-Turn | 1111 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is DBRX better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.7 to 29.4 on the Noometry Index.
Is DBRX or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 32.9 in the Noometry coding category.
How many benchmarks do DBRX and Qwen2.5-Max share?
17 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Qwen2.5-Max has 27.