Model comparison
DeepSeek Coder 33B vs Llama 3.1 Tulu 3 8b
Llama 3.1 Tulu 3 8b has enough public results to be ranked (#220); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in coding, where DeepSeek Coder 33B leads 37.4 to 33.9.
Side by side
| DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 38.3 | 35.1 |
| Released | 2023-11-02 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 11 |
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Category by category
Coding DeepSeek Coder 33B leads
DeepSeek Coder 33B: 37.4 (#180), Llama 3.1 Tulu 3 8b: 33.9 (#235)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| BigCodeBench Instruct | 42% | — |
| LMArena Coding | — | 1184 |
| BigCodeBench Complete | 51.1% | — |
| HumanEval+ | 75% | — |
| MBPP+ | 70.1% | — |
Reasoning Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 21.8 (#188)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Hard Prompts | — | 1174 |
| Epoch Capabilities Index | 95.74 | — |
| WinoGrande | 62% | — |
Math Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 31.3 (#196)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Math | — | 1195 |
| GSM8K | 35.4% | — |
Knowledge Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: —
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| ARC (AI2) Challenge | 42.2% | — |
| MMLU | 39.4% | — |
Multilingual Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 35.6 (#241)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Non-English | — | 1169 |
| LMArena Chinese | — | 1175 |
| LMArena Russian | — | 1193 |
Instruction Following Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 61.6 (#241)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Instruction Following | — | 1174 |
Long Context Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 35.8 (#234)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Longer Query | — | 1181 |
Writing & Preference Not comparable
DeepSeek Coder 33B: —, Llama 3.1 Tulu 3 8b: 39.9 (#240)
| Benchmark | DeepSeek Coder 33B | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Text | — | 1193 |
| LMArena Creative Writing | — | 1182 |
| LMArena Multi-Turn | — | 1154 |
Frequently asked questions
Is DeepSeek Coder 33B better than Llama 3.1 Tulu 3 8b?
Llama 3.1 Tulu 3 8b has enough public results to be ranked (#220); DeepSeek Coder 33B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 33B or Llama 3.1 Tulu 3 8b better for coding?
DeepSeek Coder 33B scores higher on coding benchmarks: 37.4 versus 33.9 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 33B and Llama 3.1 Tulu 3 8b share?
0 benchmarks have published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Llama 3.1 Tulu 3 8b has 11.