Meta, open weights

# Code Llama 70b Instruct

> Code Llama 70b Instruct by Meta. Ranked #267 of 368 with a Noometry Index of 33.7. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/code-llama-70b-instruct
- Last updated: 2026-11-04
- Title: Code Llama 70b Instruct Benchmarks, Price & Rank (November 2026)

Code Llama 70b Instruct by Meta ranks 267th of 368 ranked models on the Noometry Index as of November 2026, with a score of 33.7. Its strongest category is reasoning, where it ranks 253rd.

Last verified November 4, 2026

## Specifications

- **Noometry rank:** #267 of 368
- **Index score:** 33.7
- **Evidence:** Reported 4 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 70b Instruct category scores

1.  Reasoning 22.3
2.  Multilingual 23.8
3.  Instruction Following 51.6
4.  Writing & Preference 33.6
5.  0204060

Code Llama 70b Instruct category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.3 | #253 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 23.8 | #285 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 51.6 | #296 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 33.6 | #281 | 1 |

## Strengths and weaknesses

Categories where Code Llama 70b Instruct places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Code Llama 70b Instruct: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 22.3 | −3.8 | #253 of 349, top 73% |
| [Writing & Preference](https://noometry.com/best/writing) | 33.6 | −20.0 | #281 of 317, top 89% |

### Weakest categories

Code Llama 70b Instruct: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multilingual](https://noometry.com/best/multilingual) | 23.8 | −23.0 | #285 of 294, top 97% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 51.6 | −19.4 | #296 of 308, top 97% |

## Closest competitors

The models ranked just above and below Code Llama 70b Instruct. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Code Llama 70b Instruct
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Gemma 2 2b IT](https://noometry.com/models/gemma-2-2b-it) | #263 | 33.9 | — | — | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-gemma-2-2b-it) |
| [Phi 3 Medium 4k Instruct](https://noometry.com/models/phi-3-medium-4k-instruct) | #264 | 33.9 | — | — | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-phi-3-medium-4k-instruct) |
| [GPT-4.1 mini](https://noometry.com/models/gpt-4-1-mini) | #265 | 33.8 | $0.70 | 86 | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-4-1-mini) |
| [Gemini 1.5 Flash (May 2024)](https://noometry.com/models/gemini-1-5-flash) | #266 | 33.8 | — | — | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-gemini-1-5-flash) |
| [GPT-5 Nano](https://noometry.com/models/gpt-5-nano) | #268 | 33.6 | $0.14 | 4 | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-5-nano) |
| [Qwen1.5-14B](https://noometry.com/models/qwen1-5-14b) | #269 | 33.6 | — | — | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-qwen1-5-14b) |
| [Laguna M.1](https://noometry.com/models/laguna-m-1) | #270 | 33.5 | — | — | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-laguna-m-1) |
| [gpt-oss-20b](https://noometry.com/models/gpt-oss-20b) | #271 | 33.4 | $0.055 | 96 | [Compare](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-oss-20b) |

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.

### Reasoning

Code Llama 70b Instruct Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1052 | #277 of 294, top 95% | Code Llama 70B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Multilingual

Code Llama 70b Instruct Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 992 | #285 of 294, top 97% | Code Llama 70B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Instruction Following

Code Llama 70b Instruct Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1024 | #284 of 294, top 97% | Code Llama 70B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

### Writing & Preference

Code Llama 70b Instruct Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1057 | #281 of 294, top 96% | Code Llama 70B Instruct | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-28 |

## Compare Code Llama 70b Instruct

-   [Code Llama 70b Instruct vs Gemini 1.5 Flash (May 2024)](https://noometry.com/compare/code-llama-70b-instruct-vs-gemini-1-5-flash)
-   [Code Llama 70b Instruct vs GPT-5 Nano](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-5-nano)
-   [Code Llama 70b Instruct vs GPT-4.1 mini](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-4-1-mini)
-   [Code Llama 70b Instruct vs Qwen1.5-14B](https://noometry.com/compare/code-llama-70b-instruct-vs-qwen1-5-14b)
-   [Code Llama 70b Instruct vs Phi 3 Medium 4k Instruct](https://noometry.com/compare/code-llama-70b-instruct-vs-phi-3-medium-4k-instruct)
-   [Code Llama 70b Instruct vs Laguna M.1](https://noometry.com/compare/code-llama-70b-instruct-vs-laguna-m-1)
-   [Code Llama 70b Instruct vs GPT-6 Astra](https://noometry.com/compare/code-llama-70b-instruct-vs-gpt-6-astra)
-   [Code Llama 70b Instruct vs Claude Opus 5.5](https://noometry.com/compare/claude-opus-5-5-vs-code-llama-70b-instruct)
-   [Code Llama 70b Instruct vs Gemini 4 Argon](https://noometry.com/compare/code-llama-70b-instruct-vs-gemini-4-argon)
-   [Code Llama 70b Instruct vs Kimi K3](https://noometry.com/compare/code-llama-70b-instruct-vs-kimi-k3)
-   [Code Llama 70b Instruct vs DeepSeek V4.1 Flash](https://noometry.com/compare/code-llama-70b-instruct-vs-deepseek-v4-1-flash)
-   [Code Llama 70b Instruct vs Qwen3.8 Max](https://noometry.com/compare/code-llama-70b-instruct-vs-qwen3-8-max)
-   [Code Llama 70b Instruct vs Grok 4.6](https://noometry.com/compare/code-llama-70b-instruct-vs-grok-4-6)
-   [Code Llama 70b Instruct vs Doubao Seed Evolving](https://noometry.com/compare/code-llama-70b-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 34b Instruct](https://noometry.com/models/code-llama-34b-instruct)32.0

## Frequently asked questions

### How good is Code Llama 70b Instruct?

Code Llama 70b Instruct by Meta ranks 267th of 368 ranked models on the Noometry Index as of November 2026, with a score of 33.7. Its strongest category is reasoning, where it ranks 253rd.

### Is Code Llama 70b Instruct open source?

Yes. Code Llama 70b Instruct's weights are downloadable; check the license for commercial terms.

### What are Code Llama 70b Instruct's strengths and weaknesses?

Relative to other ranked models, Code Llama 70b Instruct places best in reasoning, writing & preference and lowest in multilingual, instruction following.

### What is Code Llama 70b Instruct best at?

Its best category is reasoning, where it ranks 253rd on Noometry.

### Cite this page

Noometry. (2026). Code Llama 70b Instruct benchmarks and pricing. Retrieved November 4, 2026, from https://noometry.com/models/code-llama-70b-instruct

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/code-llama-70b-instruct.md).