Currently listed through these providers:
Model details
Llama 3.1 70B
Llama 3.1 70B is a foundational large language model released by Meta on July 23, 2024, under the LLAMA 3.1 COMMUNITY LICENSE AGREEMENT. The official Meta Hugging Face repository describes Llama 3.1 as encompassing machine-learning model code, trained model weights, inference-enabling code, training-enabling code, and fine-tuning-enabling code, all distributed as the broader model family. Access to the model weights on that repository is gated behind a contact-information agreement governed by Meta's Privacy Policy, reflecting Meta's controlled rollout of the open-weight assets. Documentation accompanying the release is hosted at the Meta developer portal, making the Hugging Face page the canonical distribution point for the foundational weights and license terms.
As an open-weights, text-only 70-billion parameter member of the Llama 3.1 family, the model is positioned for a broad range of language understanding and generation workloads, including chat, reasoning, and tool-augmented workflows. Independent third-party leaderboards place the instruct variant in mid-tier rankings across categories such as tool calling and chat, giving practitioners a qualitative sense of where the model sits relative to newer alternatives, and its release under a community license makes it suitable for self-hosted experimentation, fine-tuning, and integration into private pipelines where open weights are preferred.
Quick Info
Powered by- Provider
- Merge Gateway
- Model key
- meta/llama-3.1-70b-instruct
- Release date
- Jul 23, 2024
- Last updated
- Jul 23, 2024
- Knowledge cutoff
- 2023-12
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.99
- Output token cost
- $0.99
Limits
- Output tokens
- 2,048 tokens
- Context window
- 128,000 tokens
Transparent token rates
Compare Llama 3.1 70B pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
Latest news about Llama 3.1 70B
No articles yet. Fetch the latest news to show it here.