Llama 3.3 70B Instruct
Meta AI's Llama 3.3 70B Instruct is a chat model capable of function calling, JSON mode, reasoning, streaming, and text generation. It has a notable context window of 131,072 tokens, allowing it to process and respond to lengthy inputs.
Input
Output
Context
131K
Max Output
4K
Parameters
70.6B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Benchmarks
Resources & Links
Estimated GPU requirements for Llama 3.3 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 Llama 3.3 70B Instruct
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Llama 3.3 70B Instruct advertises a context window of 131,072 tokens, with a maximum output of 4,000 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. Llama 3.3 70B Instruct is an open-weight model released under the Llama3.3 license, so the weights can be downloaded and self-hosted within that license's terms.
Llama 3.3 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.
Llama 3.3 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 Llama 3.3 70B Instruct is shown as not available rather than estimated.
Yes. Llama 3.3 70B Instruct is served on the managed pool through the OpenAI-compatible endpoint as meta-llama/Llama-3.3-70B-Instruct-Turbo, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
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.