# DeepSeek Coder 1.3B vs Llama-3.3-70B-Instruct

> Llama-3.3-70B-Instruct has enough public results to be ranked (#291); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-1-3b-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek Coder 1.3B scores higher in 1 category and Llama-3.3-70B-Instruct in 0 categories, but none of those gaps is larger than the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 29.6% for DeepSeek Coder 1.3B and 57.5% for Llama-3.3-70B-Instruct.

## Snapshot

| | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.0 | 30.6 |
| Rank | — | 291 |
| Context | — | 128K |
| Input $/M | — | $0.10 |
| Output $/M | — | $0.32 |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 1.3B: 31.2 (#287)
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| BigCodeBench Instruct | 22.8% | 46.9% |
| BigCodeBench Complete | 29.6% | 57.5% |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| LiveBench Coding | — | 36.6% |
| LMArena Coding | — | 1268 |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |

## Agentic & Tool Use

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| Epoch Capabilities Index | 63.6 | 127.33 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
| WinoGrande | 53.3% | — |

## Math

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| LMArena Math | — | 1267 |
| MATH Level 5 | — | 41.6% |
| GSM8K | 4.4% | — |

## Knowledge

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| MMLU | 25.8% | 86.3% |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| LMArena Expert | — | 1225 |
| ARC (AI2) Challenge | 25.4% | — |

## Multilingual

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | — | 1236 |
| LMArena Chinese | — | 1217 |
| LMArena French | — | 1281 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1150 |
| LMArena Korean | — | 1143 |
| LMArena Russian | — | 1252 |
| LMArena Spanish | — | 1270 |

## Instruction Following

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | — | 82.7% |
| LMArena Instruction Following | — | 1242 |

## Long Context

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | — | 33.3% |
| LMArena Longer Query | — | 1256 |

## Writing & Preference

- DeepSeek Coder 1.3B: —
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | DeepSeek Coder 1.3B | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | — | 1274 |
| LMArena Creative Writing | — | 1250 |
| LMArena Multi-Turn | — | 1280 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is DeepSeek Coder 1.3B better than Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct has enough public results to be ranked (#291); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 1.3B or Llama-3.3-70B-Instruct better for coding?

They score almost the same on coding (31.2 vs 31.0); test both on your own repository before choosing.

### How many benchmarks do DeepSeek Coder 1.3B and Llama-3.3-70B-Instruct share?

4 benchmarks have published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Llama-3.3-70B-Instruct has 43.