GPQA Diamond (OpenRouter)
?what it ishighest score on this metric 96.5%
132º / 135 · OpenRouter Benchmarks, latest version we checked
Llama 3.1 8B Instruct
Benchmarks, price, context and versions
Also searched as
Llama-3.1-8B-Instruct
Direct answer: Llama 3.1 8B Instruct is a model from Meta. 29% on GPQA Diamond (OpenRouter), per OpenRouter Benchmarks. On OpenRouter, US$ 0.02 per 1 million input tokens and US$ 0.04 per 1 million output tokens.
✓ Good for
- high-volume use (input price in the cheapest 25% on OpenRouter)
- running on your own infrastructure (open weights)
✕ Not the best for
- technical reasoning as the model appears through the API (#132 of 135 on GPQA Diamond (OpenRouter))
- agents that follow rules and use tools (#130 of 131 on τ-bench Verified (airline))
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
τ-bench Verified (airline)
?highest score on this metric 82%
130º / 131 · OpenRouter Benchmarks, latest version we checked
Key specs
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 8B Instruct?
Llama 3.1 8B Instruct is a model from Meta, with open weights, used for text, agents.
How much does Llama 3.1 8B Instruct cost?
On OpenRouter, US$ 0.02 per 1 million input tokens and US$ 0.04 per 1 million output tokens.
What is the context window of Llama 3.1 8B Instruct?
131,072 tokens, per OpenRouter.
Is Llama 3.1 8B Instruct open source?
Yes, it has open weights. License: no data.
What is Llama 3.1 8B Instruct's GPQA Diamond (OpenRouter) score?
29% on GPQA Diamond (OpenRouter), per OpenRouter Benchmarks.
Is Llama 3.1 8B Instruct good for coding?
No data: there is no SWE-bench Verified measurement for it in open sources.
Who made Llama 3.1 8B 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.
- OpenRouter Benchmarks, 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.