Model comparison
DBRX vs Yi-1.5-34B
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 29.4 on the Noometry Index.
Last verified . 19 shared benchmarks.
DatabricksSummary
- They share 19 benchmarks with published results for both. DBRX scores higher in 2 categories and Yi-1.5-34B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Yi-1.5-34B leads 37.4 to 33.6.
- The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 25.5% for Yi-1.5-34B.
Side by side
| DBRX | Yi-1.5-34B | |
|---|---|---|
| Provider | Databricks | 01.AI |
| Noometry Index | 29.4 | 30.6 |
| Released | 2024-03-27 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 21 |
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Category by category
Coding Too close to call
DBRX: 32.9 (#266), Yi-1.5-34B: 32.4 (#272)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1132 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Reasoning Yi-1.5-34B leads
DBRX: 21.4 (#222), Yi-1.5-34B: 22.5 (#191)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1160 |
Math Yi-1.5-34B leads
DBRX: 24.3 (#269), Yi-1.5-34B: 27.5 (#249)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1145 | 1182 |
| MATH Level 5 | 11.7% | 25.5% |
Knowledge Too close to call
DBRX: 14.9 (#294), Yi-1.5-34B: 14.8 (#295)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 32.9% | 32% |
| LMArena Expert | 1076 | 1144 |
Multilingual Yi-1.5-34B leads
DBRX: 29.3 (#268), Yi-1.5-34B: 32.3 (#256)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1071 | 1121 |
| LMArena Chinese | 1068 | 1213 |
| LMArena French | 1096 | 1156 |
| LMArena German | 1057 | 1111 |
| LMArena Japanese | 990 | 1021 |
| LMArena Korean | 993 | 1005 |
| LMArena Russian | 1078 | 1091 |
| LMArena Spanish | 1064 | 1121 |
Instruction Following Yi-1.5-34B leads
DBRX: 57.5 (#270), Yi-1.5-34B: 59.2 (#257)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1112 | 1139 |
Long Context Too close to call
DBRX: 33.7 (#258), Yi-1.5-34B: 34.6 (#248)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1112 | 1143 |
Writing & Preference Yi-1.5-34B leads
DBRX: 33.6 (#275), Yi-1.5-34B: 37.4 (#257)
| Benchmark | DBRX | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1119 | 1173 |
| LMArena Creative Writing | 1104 | 1135 |
| LMArena Multi-Turn | 1111 | 1153 |
Frequently asked questions
Is DBRX better than Yi-1.5-34B?
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 29.4 on the Noometry Index.
Is DBRX or Yi-1.5-34B better for coding?
They score almost the same on coding (32.9 vs 32.4); test both on your own repository before choosing.
How many benchmarks do DBRX and Yi-1.5-34B share?
19 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Yi-1.5-34B has 21.