Llama 3.1 70B Instruct
Benchmarks, price, context and versions
Also searched as
Llama-3.1-70B-Instruct
Direct answer: Llama 3.1 70B Instruct is a model from Meta. On OpenRouter, US$ 0.72 per 1 million input tokens and US$ 0.72 per 1 million output tokens.
✓ Good for
- running on your own infrastructure (open weights)
✕ Not the best for
- Not enough data in the open sources this section uses to build this block.
This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.
Benchmarks
Key specs
- Lab
- Meta
- Origin
- the US
- Family
- Llama Instruct provisional data
- Weights?what it is
- open
- License
- no data
- Input US$/1M?
- US$ 0.72
- Output US$/1M
- US$ 0.72
- Context?
- 131,072 tokens
- Parameters
- no data
- Input
- text
- OpenRouter usage?
- no data
- Downloads (30 days)?
- no data
- Use cases provisional data
- Text
- Dates in sources
- 2024, listed on OpenRouter
Version history
- Llama-4-Maverick-17B-128E-Instruct-FP8-Original Hugging Face Hub, Hugging Face repo created
- Llama-4-Maverick-17B-128E-Instruct-Original Hugging Face Hub, Hugging Face repo created
- Llama-4-Scout-17B-16E-Instruct-Original Hugging Face Hub, Hugging Face repo created
- Llama-4-Scout-17B-16E-Instruct Hugging Face Hub, Hugging Face repo created
- Llama-4-Maverick-17B-128E-Instruct Hugging Face Hub, Hugging Face repo created
- Llama-4-Maverick-17B-128E-Instruct-FP8 Hugging Face Hub, Hugging Face repo created
- Meta: Llama 3.3 70B Instruct OpenRouter, listed on OpenRouter
- Llama-3.3-70B-Instruct Hugging Face Hub, Hugging Face repo created
- Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8 Hugging Face Hub, Hugging Face repo created
- Llama-3.2-3B-Instruct-QLORA_INT4_EO8 Hugging Face Hub, Hugging Face repo created
- Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8 Hugging Face Hub, Hugging Face repo created
- Llama-3.2-1B-Instruct-QLORA_INT4_EO8 Hugging Face Hub, Hugging Face repo created
- Meta: Llama 3.2 3B Instruct OpenRouter, listed on OpenRouter
- Meta: Llama 3.2 1B Instruct OpenRouter, listed on OpenRouter
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.
FAQ
What is Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is a model from Meta, with open weights, used for text.
How much does Llama 3.1 70B Instruct cost?
On OpenRouter, US$ 0.72 per 1 million input tokens and US$ 0.72 per 1 million output tokens.
What is the context window of Llama 3.1 70B Instruct?
131,072 tokens, per OpenRouter.
Is Llama 3.1 70B Instruct open source?
Yes, it has open weights. License: no data.
Is Llama 3.1 70B Instruct good for coding?
No data: there is no SWE-bench Verified measurement for it in open sources.
Who made Llama 3.1 70B Instruct?
It was made by Meta, a lab from the US.
provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.
Models from Meta
Sources
- OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.