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Meta: Llama 3.1 70B Instruct

meta-llama/llama-3.1-70b-instruct

Model weights
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Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases.

It has demonstrated strong performance compared to leading closed-source models in human evaluations.

To read more about the model release, click here(opens in new tab). Usage of this model is subject to Meta's Acceptable Use Policy(opens in new tab).

Modalities

In / Out Price

$0.40 / $0.40per 1M

Context

131K

Released

Jul 23, 2024

Knowledge Cutoff

Dec 2023

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About Meta: Llama 3.1 70B Instruct

OpenRouter makes Meta: Llama 3.1 70B Instruct by Meta Llama available through a unified, OpenAI-compatible API using the model ID meta-llama/llama-3.1-70b-instruct. Requests can be routed across 3 providers, including DeepInfra (Turbo), Amazon Bedrock and CoreWeave, with automatic failover when an endpoint is unavailable.

Meta: Llama 3.1 70B Instruct accepts text and returns text. It has a 131,072-token context window and a maximum output of 16,384 tokens.

On OpenRouter, Meta: Llama 3.1 70B Instruct costs $0.40/M input tokens and $0.40/M output tokens. It was released on July 23, 2024; its knowledge cutoff is December 31, 2023.

More models from Meta Llama

  • Llama Guard 4 12B
  • Llama 4 Maverick
  • Llama 4 Scout

Frequently asked questions

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.

Llama 3.1 70B Instruct costs $0.40/M input tokens and $0.40/M output tokens.

Llama 3.1 70B Instruct has a 131,072 token context window. It supports up to 16,384 completion tokens.

Yes. Llama 3.1 70B Instruct accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Llama 3.1 70B Instruct is served by 3 providers on OpenRouter: DeepInfra (Turbo), Amazon Bedrock and CoreWeave. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Llama 3.1 70B Instruct was released on July 23, 2024. Its knowledge cutoff is December 31, 2023.