Model comparison
DBRX vs Llama 3.1-8B
DBRX is the stronger model overall, scoring 29.4 to 23.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
Databricks
MetaSummary
- They share 21 benchmarks with published results for both. DBRX scores higher in 5 categories and Llama 3.1-8B in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DBRX leads 24.3 to 10.2.
- The biggest single-benchmark swing is MATH Level 5: 11.7% for DBRX and 22.9% for Llama 3.1-8B.
Side by side
| DBRX | Llama 3.1-8B | |
|---|---|---|
| Provider | Databricks | Meta |
| Noometry Index | 29.4 | 23.0 |
| Released | 2024-03-27 | 2024-07-23 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 21 | 43 |
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Category by category
Coding DBRX leads
DBRX: 32.9 (#266), Llama 3.1-8B: 20.2 (#340)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1132 | 1195 |
| HumanEval+ | 70.1% | 62.8% |
| MBPP+ | 55.8% | 55.6% |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
Agentic & Tool Use Not comparable
DBRX: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning DBRX leads
DBRX: 21.4 (#222), Llama 3.1-8B: 14.9 (#321)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1175 |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.57 |
| PIQA | — | 81.2% |
Math DBRX leads
DBRX: 24.3 (#269), Llama 3.1-8B: 10.2 (#317)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Math | 1145 | 1179 |
| MATH Level 5 | 11.7% | 22.9% |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| GSM8K | — | 82.4% |
Knowledge DBRX leads
DBRX: 14.9 (#294), Llama 3.1-8B: 8.0 (#307)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 32.9% | 27% |
| LMArena Expert | 1076 | 1144 |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multilingual Llama 3.1-8B leads
DBRX: 29.3 (#268), Llama 3.1-8B: 34.0 (#249)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1071 | 1148 |
| LMArena Chinese | 1068 | 1151 |
| LMArena French | 1096 | 1177 |
| LMArena German | 1057 | 1144 |
| LMArena Japanese | 990 | 1061 |
| LMArena Korean | 993 | 1053 |
| LMArena Russian | 1078 | 1158 |
| LMArena Spanish | 1064 | 1169 |
Instruction Following Llama 3.1-8B leads
DBRX: 57.5 (#270), Llama 3.1-8B: 58.9 (#258)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1112 | 1159 |
| IFEval | — | 74.3% |
Long Context Llama 3.1-8B leads
DBRX: 33.7 (#258), Llama 3.1-8B: 35.8 (#238)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1112 | 1182 |
Writing & Preference DBRX leads
DBRX: 33.6 (#275), Llama 3.1-8B: 29.7 (#290)
| Benchmark | DBRX | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1119 | 1187 |
| LMArena Creative Writing | 1104 | 1154 |
| LMArena Multi-Turn | 1111 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
Frequently asked questions
Is DBRX better than Llama 3.1-8B?
DBRX is the stronger model overall, scoring 29.4 to 23.0 on the Noometry Index.
Is DBRX or Llama 3.1-8B better for coding?
DBRX scores higher on coding benchmarks: 32.9 versus 20.2 in the Noometry coding category.
How many benchmarks do DBRX and Llama 3.1-8B share?
21 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Llama 3.1-8B has 43.