# Deepseek Coder v2 vs Llama 3.1 Tulu 3 8b

> Deepseek Coder v2 and Llama 3.1 Tulu 3 8b score almost the same on the Noometry Index (35.9 vs 35.7), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-llama-3-1-tulu-3-8b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Deepseek Coder v2 scores higher in 6 categories and Llama 3.1 Tulu 3 8b in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Deepseek Coder v2 leads 38.1 to 34.4.

## Snapshot

| | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 35.9 | 35.7 |
| Rank | 220 | 224 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Llama 3.1 Tulu 3 8b: 34.4 (#235)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Coding | 1251 | 1183 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Llama 3.1 Tulu 3 8b: 22.8 (#188)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1174 |
| WinoGrande | 83.7% | — |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Llama 3.1 Tulu 3 8b: 33.9 (#198)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Math | 1241 | 1195 |
| GSM8K | 94.5% | — |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Llama 3.1 Tulu 3 8b: —

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Llama 3.1 Tulu 3 8b: 35.4 (#246)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Non-English | 1182 | 1169 |
| LMArena Chinese | 1201 | 1176 |
| LMArena Russian | 1188 | 1193 |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Llama 3.1 Tulu 3 8b: 61.3 (#246)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Instruction Following | 1180 | 1174 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Llama 3.1 Tulu 3 8b: 35.8 (#239)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Longer Query | 1219 | 1181 |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Llama 3.1 Tulu 3 8b: 39.7 (#245)

| Benchmark | Deepseek Coder v2 | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Text | 1191 | 1193 |
| LMArena Creative Writing | 1120 | 1182 |
| LMArena Multi-Turn | 1177 | 1154 |

## FAQ

### Is Deepseek Coder v2 better than Llama 3.1 Tulu 3 8b?

Deepseek Coder v2 and Llama 3.1 Tulu 3 8b score almost the same on the Noometry Index (35.9 vs 35.7), so choose on price, context window or the category you care about most.

### Is Deepseek Coder v2 or Llama 3.1 Tulu 3 8b better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 34.4 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Llama 3.1 Tulu 3 8b share?

11 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 3.1 Tulu 3 8b has 11.