Model comparison
DBRX vs Llama 3.2 1B
DBRX is the stronger model overall, scoring 29.4 to 20.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Databricks
MetaSummary
- They share 14 benchmarks with published results for both. DBRX scores higher in 8 categories and Llama 3.2 1B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DBRX leads 24.3 to 10.4.
- The biggest single-benchmark swing is GPQA Diamond: 32.9% for DBRX and 23.9% for Llama 3.2 1B.
Side by side
| DBRX | Llama 3.2 1B | |
|---|---|---|
| Provider | Databricks | Meta |
| Noometry Index | 29.4 | 20.1 |
| Released | 2024-03-27 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 21 | 22 |
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Category by category
Coding DBRX leads
DBRX: 32.9 (#266), Llama 3.2 1B: 21.1 (#338)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1132 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |
| HumanEval+ | 70.1% | — |
| MBPP+ | 55.8% | — |
Agentic & Tool Use Not comparable
DBRX: —, Llama 3.2 1B: 14.6 (#150)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning DBRX leads
DBRX: 21.4 (#222), Llama 3.2 1B: 16.2 (#308)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1044 |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 101.99 |
Math DBRX leads
DBRX: 24.3 (#269), Llama 3.2 1B: 10.4 (#313)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Math | 1145 | 1086 |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| MATH Level 5 | 11.7% | — |
Knowledge DBRX leads
DBRX: 14.9 (#294), Llama 3.2 1B: 7.2 (#312)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 32.9% | 23.9% |
| LMArena Expert | 1076 | 1007 |
Multilingual DBRX leads
DBRX: 29.3 (#268), Llama 3.2 1B: 23.8 (#292)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1071 | 973 |
| LMArena Chinese | 1068 | 959 |
| LMArena German | 1057 | 1014 |
| LMArena Russian | 1078 | 941 |
| LMArena French | 1096 | — |
| LMArena Japanese | 990 | — |
| LMArena Korean | 993 | — |
| LMArena Spanish | 1064 | — |
Instruction Following DBRX leads
DBRX: 57.5 (#270), Llama 3.2 1B: 52.4 (#290)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1112 | 1031 |
Long Context DBRX leads
DBRX: 33.7 (#258), Llama 3.2 1B: 31.9 (#274)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1112 | 1050 |
Writing & Preference DBRX leads
DBRX: 33.6 (#275), Llama 3.2 1B: 21.3 (#310)
| Benchmark | DBRX | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1119 | 1055 |
| LMArena Creative Writing | 1104 | 1033 |
| LMArena Multi-Turn | 1111 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
Frequently asked questions
Is DBRX better than Llama 3.2 1B?
DBRX is the stronger model overall, scoring 29.4 to 20.1 on the Noometry Index.
Is DBRX or Llama 3.2 1B better for coding?
DBRX scores higher on coding benchmarks: 32.9 versus 21.1 in the Noometry coding category.
How many benchmarks do DBRX and Llama 3.2 1B share?
14 benchmarks have published results for both models. DBRX has 21 scored results on Noometry and Llama 3.2 1B has 22.