Model comparison
DeepSeek LLM 67B vs Dolly 2.0-12b
DeepSeek LLM 67B and Dolly 2.0-12b score almost the same on the Noometry Index (24.8 vs 24.9), so choose on price, context window or the category you care about most.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 5 categories and Dolly 2.0-12b in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Dolly 2.0-12b leads 25.0 to 8.1.
Side by side
| DeepSeek LLM 67B | Dolly 2.0-12b | |
|---|---|---|
| Provider | DeepSeek | Databricks |
| Noometry Index | 24.8 | 24.9 |
| Released | 2023-11-29 | 2023-04-11 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 17 |
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Category by category
Coding DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.3 (#273), Dolly 2.0-12b: 23.0 (#327)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Coding | 1096 | 776 |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 15.9 (#300), Dolly 2.0-12b: 14.6 (#315)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Hard Prompts | 1070 | 804 |
| Epoch Capabilities Index | 110.54 | 88.94 |
| Chess Puzzles | 0% | — |
| HellaSwag | — | 70.8% |
| PIQA | — | 75.4% |
| WinoGrande | — | 61.8% |
Math Dolly 2.0-12b leads
DeepSeek LLM 67B: 8.1 (#318), Dolly 2.0-12b: 25.0 (#250)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Math | 1108 | 871 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
Knowledge Not comparable
DeepSeek LLM 67B: 7.1 (#308), Dolly 2.0-12b: —
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| ARC (AI2) Challenge | — | 39.6% |
| BoolQ | — | 56.3% |
| MMLU | — | 26.2% |
| OpenBookQA | — | 39.2% |
Multilingual DeepSeek LLM 67B leads
DeepSeek LLM 67B: 29.5 (#262), Dolly 2.0-12b: 17.4 (#291)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Non-English | 1073 | 836 |
| LMArena Chinese | 1132 | 836 |
Instruction Following DeepSeek LLM 67B leads
DeepSeek LLM 67B: 55.7 (#272), Dolly 2.0-12b: 38.9 (#299)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Instruction Following | 1079 | 814 |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#260), Dolly 2.0-12b: —
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.8 (#277), Dolly 2.0-12b: 15.3 (#306)
| Benchmark | DeepSeek LLM 67B | Dolly 2.0-12b |
|---|---|---|
| LMArena Text | 1105 | 851 |
| LMArena Creative Writing | 1067 | 864 |
| LMArena Multi-Turn | 1082 | 740 |
Frequently asked questions
Is DeepSeek LLM 67B better than Dolly 2.0-12b?
DeepSeek LLM 67B and Dolly 2.0-12b score almost the same on the Noometry Index (24.8 vs 24.9), so choose on price, context window or the category you care about most.
Is DeepSeek LLM 67B or Dolly 2.0-12b better for coding?
DeepSeek LLM 67B scores higher on coding benchmarks: 31.3 versus 23.0 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Dolly 2.0-12b share?
10 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Dolly 2.0-12b has 17.