# Codellama 34b Instruct vs DeepSeek LLM 67B

> Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/codellama-34b-instruct-vs-deepseek-llm-67b
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 2 categories and DeepSeek LLM 67B in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Codellama 34b Instruct leads 31.0 to 8.7.

## Snapshot

| | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 30.8 | 24.9 |
| Rank | 287 | 347 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Codellama 34b Instruct: 28.5 (#314)
- DeepSeek LLM 67B: 31.9 (#278)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Coding | 1046 | 1096 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |

## Reasoning

- Codellama 34b Instruct: 19.6 (#255)
- DeepSeek LLM 67B: 16.5 (#304)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1070 |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 110.5 |

## Math

- Codellama 34b Instruct: 31.0 (#230)
- DeepSeek LLM 67B: 8.7 (#324)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Math | 1056 | 1108 |
| OTIS Mock AIME 2024-2025 | — | 0.8% |
| MATH Level 5 | — | 6.4% |

## Knowledge

- Codellama 34b Instruct: —
- DeepSeek LLM 67B: 7.0 (#313)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| GPQA Diamond | — | 24.6% |

## Multilingual

- Codellama 34b Instruct: 25.8 (#284)
- DeepSeek LLM 67B: 29.4 (#267)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Non-English | 1011 | 1073 |
| LMArena Chinese | 976 | 1132 |

## Instruction Following

- Codellama 34b Instruct: 52.2 (#291)
- DeepSeek LLM 67B: 55.4 (#277)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Instruction Following | 1028 | 1079 |

## Long Context

- Codellama 34b Instruct: 30.9 (#284)
- DeepSeek LLM 67B: 33.1 (#265)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Longer Query | 1013 | 1092 |

## Writing & Preference

- Codellama 34b Instruct: 28.2 (#297)
- DeepSeek LLM 67B: 31.6 (#282)

| Benchmark | Codellama 34b Instruct | DeepSeek LLM 67B |
|---|---|---|
| LMArena Text | 1066 | 1105 |
| LMArena Creative Writing | 1032 | 1067 |
| LMArena Multi-Turn | 1015 | 1082 |

## FAQ

### Is Codellama 34b Instruct better than DeepSeek LLM 67B?

Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 24.9 on the Noometry Index.

### Is Codellama 34b Instruct or DeepSeek LLM 67B better for coding?

DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 28.5 in the Noometry coding category.

### How many benchmarks do Codellama 34b Instruct and DeepSeek LLM 67B share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and DeepSeek LLM 67B has 15.