# Deepseek Coder v2 vs Llama 3.2 3B

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-2-3b
- Last updated: 2026-10-12
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Llama 3.2 3B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Deepseek Coder v2 leads 38.2 to 24.7.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.7% for Deepseek Coder v2 and 28.3% for Llama 3.2 3B.

## Snapshot

| | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | 28.9 |
| Rank | 220 | 321 |
| Context | — | 131K |
| Input $/M | — | $0.05 |
| Output $/M | — | $0.33 |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Llama 3.2 3B: 27.6 (#319)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| BigCodeBench Instruct | 48.2% | 23.4% |
| LMArena Coding | 1251 | 1098 |
| BigCodeBench Complete | 59.7% | 28.3% |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Agentic & Tool Use

- Deepseek Coder v2: —
- Llama 3.2 3B: 20.1 (#143)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Llama 3.2 3B: 21.0 (#228)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1095 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Llama 3.2 3B: 32.4 (#214)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1241 | 1126 |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Llama 3.2 3B: 29.7 (#235)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1181 | 1090 |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Llama 3.2 3B: 26.2 (#281)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1182 | 1019 |
| LMArena Chinese | 1201 | 1017 |
| LMArena German | 1164 | 1056 |
| LMArena Russian | 1188 | 949 |
| LMArena French | 1185 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Llama 3.2 3B: 56.0 (#275)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1089 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Llama 3.2 3B: 33.4 (#261)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1219 | 1100 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Llama 3.2 3B: 24.7 (#307)

| Benchmark | Deepseek Coder v2 | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1191 | 1110 |
| LMArena Creative Writing | 1120 | 1094 |
| LMArena Multi-Turn | 1177 | 1105 |
| EQ-Bench Creative Writing | — | 595 |

## FAQ

### Is Deepseek Coder v2 better than Llama 3.2 3B?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.9 on the Noometry Index.

### Is Deepseek Coder v2 or Llama 3.2 3B better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 27.6 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Llama 3.2 3B share?

15 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 3.2 3B has 18.