Meta, open weights

# Code Llama 34b Instruct

> Code Llama 34b Instruct by Meta. Ranked #295 of 368 with a Noometry Index of 32.0. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/code-llama-34b-instruct
- Last updated: 2026-11-04
- Title: Code Llama 34b Instruct Benchmarks, Price & Rank (November 2026)

Code Llama 34b Instruct by Meta ranks 295th of 368 ranked models on the Noometry Index as of November 2026, with a score of 32.0. Its strongest category is math, where it ranks 242nd.

Last verified November 4, 2026

## Specifications

- **Noometry rank:** #295 of 368
- **Index score:** 32.0
- **Evidence:** Confirmed 10 results
- **Provider:** [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta)
- **Released:** Unknown
- **Weights:** Open weights
- **Reasoning:** Unknown
- **Context window:** —
- **Max output:** —
- **Input price:** Not listed
- **Output price:** Not listed
- **Blended price:** Not listed
- **Output speed:** Not measured
- **Value:** Not ranked
- **Knowledge cutoff:** Unknown

## Category scores

Each category score combines every public result we have in that category.

Code Llama 34b Instruct category scores

1.  Coding 31.0
2.  Reasoning 21.8
3.  Math 33.0
4.  Multilingual 24.8
5.  Instruction Following 51.9
6.  Long Context 30.8
7.  Writing & Preference 28.3
8.  0204060

Code Llama 34b Instruct category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 31.0 | #300 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | #262 | 1 |
| [Math](https://noometry.com/best/math) | 33.0 | #242 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 24.8 | #281 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 51.9 | #294 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 30.8 | #280 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 28.3 | #301 | 3 |

## Strengths and weaknesses

Categories where Code Llama 34b Instruct places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Code Llama 34b Instruct: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 33.0 | −5.6 | #242 of 342, top 71% |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | −4.2 | #262 of 349, top 76% |
| [Coding](https://noometry.com/best/coding) | 31.0 | −8.2 | #300 of 346, top 87% |

### Weakest categories

Code Llama 34b Instruct: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Long Context](https://noometry.com/best/long-context) | 30.8 | −10.4 | #280 of 292, top 96% |
| [Multilingual](https://noometry.com/best/multilingual) | 24.8 | −22.0 | #281 of 294, top 96% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 51.9 | −19.1 | #294 of 308, top 96% |

## Closest competitors

The models ranked just above and below Code Llama 34b Instruct. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Code Llama 34b Instruct
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Qwen1.5-7B](https://noometry.com/models/qwen1-5-7b) | #291 | 32.2 | — | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-qwen1-5-7b) |
| [Command R](https://noometry.com/models/command-r) | #292 | 32.1 | $0.26 | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-command-r) |
| [Gemma 1.1 7b IT](https://noometry.com/models/gemma-1-1-7b-it) | #293 | 32.1 | — | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-gemma-1-1-7b-it) |
| [Qwen2.5 32B Instruct](https://noometry.com/models/qwen2-5-32b-instruct) | #294 | 32.1 | — | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-qwen2-5-32b-instruct) |
| [Phi-4](https://noometry.com/models/phi-4) | #296 | 32.0 | $0.0875 | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-phi-4) |
| [Phi-4 Mini](https://noometry.com/models/phi-4-mini) | #297 | 31.8 | $0.13 | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-phi-4-mini) |
| [Codestral](https://noometry.com/models/codestral) | #298 | 31.7 | $0.45 | 271 | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-codestral) |
| [Granite 3.0 2b Instruct](https://noometry.com/models/granite-3-0-2b-instruct) | #299 | 31.6 | — | — | [Compare](https://noometry.com/compare/code-llama-34b-instruct-vs-granite-3-0-2b-instruct) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Code Llama 34b Instruct Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1046 | #280 of 291, top 97% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Reasoning

Code Llama 34b Instruct Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1032 | #282 of 294, top 96% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Math

Code Llama 34b Instruct Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1056 | #274 of 283, top 97% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Multilingual

Code Llama 34b Instruct Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1011 | #281 of 294, top 96% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 976 | #277 of 281, top 99% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Instruction Following

Code Llama 34b Instruct Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1028 | #283 of 294, top 97% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Long Context

Code Llama 34b Instruct Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1013 | #280 of 287, top 98% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Writing & Preference

Code Llama 34b Instruct Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1066 | #280 of 294, top 96% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1031 | #282 of 292, top 97% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1015 | #282 of 292, top 97% | Code Llama 34B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

## Compare Code Llama 34b Instruct

-   [Code Llama 34b Instruct vs Qwen2.5 32B Instruct](https://noometry.com/compare/code-llama-34b-instruct-vs-qwen2-5-32b-instruct)
-   [Code Llama 34b Instruct vs Phi-4](https://noometry.com/compare/code-llama-34b-instruct-vs-phi-4)
-   [Code Llama 34b Instruct vs Gemma 1.1 7b IT](https://noometry.com/compare/code-llama-34b-instruct-vs-gemma-1-1-7b-it)
-   [Code Llama 34b Instruct vs Phi-4 Mini](https://noometry.com/compare/code-llama-34b-instruct-vs-phi-4-mini)
-   [Code Llama 34b Instruct vs Command R](https://noometry.com/compare/code-llama-34b-instruct-vs-command-r)
-   [Code Llama 34b Instruct vs Codestral](https://noometry.com/compare/code-llama-34b-instruct-vs-codestral)
-   [Code Llama 34b Instruct vs GPT-6 Astra](https://noometry.com/compare/code-llama-34b-instruct-vs-gpt-6-astra)
-   [Code Llama 34b Instruct vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-code-llama-34b-instruct)
-   [Code Llama 34b Instruct vs Gemini 4 Argon](https://noometry.com/compare/code-llama-34b-instruct-vs-gemini-4-argon)
-   [Code Llama 34b Instruct vs Kimi K3](https://noometry.com/compare/code-llama-34b-instruct-vs-kimi-k3)
-   [Code Llama 34b Instruct vs DeepSeek V4.1 Flash](https://noometry.com/compare/code-llama-34b-instruct-vs-deepseek-v4-1-flash)
-   [Code Llama 34b Instruct vs Qwen3.8 Max](https://noometry.com/compare/code-llama-34b-instruct-vs-qwen3-8-max)
-   [Code Llama 34b Instruct vs Grok 4.6](https://noometry.com/compare/code-llama-34b-instruct-vs-grok-4-6)
-   [Code Llama 34b Instruct vs Doubao Seed Evolving](https://noometry.com/compare/code-llama-34b-instruct-vs-doubao-seed-evolving)

## Other Meta models

-   [Muse Wonder](https://noometry.com/models/muse-wonder)57.4
-   [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3)54.9
-   [Muse Spark](https://noometry.com/models/muse-spark)51.2
-   [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2)51.2
-   [Muse Spark Open](https://noometry.com/models/muse-spark-open)51.0
-   [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1)50.6
-   [Muse Glimmer](https://noometry.com/models/muse-glimmer)42.5
-   [Code Llama 70b Instruct](https://noometry.com/models/code-llama-70b-instruct)33.7

## Frequently asked questions

### How good is Code Llama 34b Instruct?

Code Llama 34b Instruct by Meta ranks 295th of 368 ranked models on the Noometry Index as of November 2026, with a score of 32.0. Its strongest category is math, where it ranks 242nd.

### Is Code Llama 34b Instruct open source?

Yes. Code Llama 34b Instruct's weights are downloadable; check the license for commercial terms.

### What are Code Llama 34b Instruct's strengths and weaknesses?

Relative to other ranked models, Code Llama 34b Instruct places best in math, reasoning, coding and lowest in long context, multilingual, instruction following.

### What is Code Llama 34b Instruct best at?

Its best category is math, where it ranks 242nd on Noometry.

### Cite this page

Noometry. (2026). Code Llama 34b Instruct benchmarks and pricing. Retrieved November 4, 2026, from https://noometry.com/models/code-llama-34b-instruct

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/code-llama-34b-instruct.md).