Model comparison
DeepSeek Coder 1.3B vs Llama 3.2 3B
Llama 3.2 3B has enough public results to be ranked (#321); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
DeepSeek
MetaSummary
- They share 2 benchmarks with published results for both. DeepSeek Coder 1.3B scores higher in 1 category and Llama 3.2 3B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek Coder 1.3B leads 31.2 to 27.6.
Side by side
| DeepSeek Coder 1.3B | Llama 3.2 3B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.0 | 28.9 |
| Released | 2023-11-02 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 9 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek Coder 1.3B leads
DeepSeek Coder 1.3B: 31.2 (#287), Llama 3.2 3B: 27.6 (#319)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| BigCodeBench Instruct | 22.8% | 23.4% |
| BigCodeBench Complete | 29.6% | 28.3% |
| LMArena Coding | — | 1098 |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 20.1 (#143)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 21.0 (#228)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | — | 1095 |
| Epoch Capabilities Index | 63.6 | — |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 32.4 (#214)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Math | — | 1126 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 29.7 (#235)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | — | 1090 |
| ARC (AI2) Challenge | 25.4% | — |
| MMLU | 25.8% | — |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 26.2 (#281)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | — | 1019 |
| LMArena Chinese | — | 1017 |
| LMArena German | — | 1056 |
| LMArena Russian | — | 949 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 56.0 (#275)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | — | 1089 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 33.4 (#261)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | — | 1100 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Llama 3.2 3B: 24.7 (#307)
| Benchmark | DeepSeek Coder 1.3B | Llama 3.2 3B |
|---|---|---|
| LMArena Text | — | 1110 |
| LMArena Creative Writing | — | 1094 |
| EQ-Bench Creative Writing | — | 595 |
| LMArena Multi-Turn | — | 1105 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Llama 3.2 3B?
Llama 3.2 3B has enough public results to be ranked (#321); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Llama 3.2 3B better for coding?
DeepSeek Coder 1.3B scores higher on coding benchmarks: 31.2 versus 27.6 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Llama 3.2 3B share?
2 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Llama 3.2 3B has 18.