Meta Llama 3 70B Instruct
Meta AI's Meta Llama 3 70B Instruct is a chat model optimized for dialogue use cases, with capabilities including function calling, JSON mode, reasoning, streaming, and text generation. It is genuinely best at handling a wide range of tasks due to its instruction tuning and large 70B parameter size.
Input
Output
Context
8K
Max Output
2K
Parameters
70.6B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for Meta Llama 3 70B Instruct
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
More models by Meta AI
The creator's other models in the catalog, with their context, size and license where published.
Compare it, or keep browsing
Put this model beside its alternatives on the same evidence, or go back to the full catalog.
Frequently asked questions about Meta Llama 3 70B Instruct
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Meta Llama 3 70B Instruct advertises a context window of 8,192 tokens, with a maximum output of 2,048 tokens in a single response. The figure is the creator's published maximum; a given host may serve less, and the gateway routes on what each host actually serves.
Yes. Meta Llama 3 70B Instruct is an open-weight model released under the Llama3 license, so the weights can be downloaded and self-hosted within that license's terms.
Meta Llama 3 70B Instruct accepts Text and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
Meta Llama 3 70B Instruct has published results from Artificial Analysis, shown by suite in the benchmarks card above exactly as the publisher reported them. Scores are not combined across suites, and a suite that has not measured Meta Llama 3 70B Instruct is shown as not available rather than estimated.
Not on the managed pool today; Meta Llama 3 70B Instruct is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 69.0 GB at INT8 for the weights and a default context, from the catalog's 70.6B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 13, 2026
Put intelligence in the middle.
One gateway in front of every model, with your policies applied and every decision on record. Start with $5 of credit and 5,000 routing decisions a month, no card required.