Curiosity · AI Model

Llama 3.3 70B Instruct

Llama 3.3 70B Instruct is Meta's late-2024 refresh of the Llama 3 70B line — same architecture, new post-training recipe that closed most of the gap to the Llama 3.1 405B flagship. It remains the pragmatic open-weights workhorse: strong general quality, fits on 2x H100, and well-supported by every inference stack.

Model specs

Vendor
Meta
Family
Llama 3
Released
2024-12
Context window
128,000 tokens
Modalities
text
Input price
$0.23/M tok
Output price
$0.4/M tok
Pricing as of
2026-04-20

Strengths

  • Open weights under the Llama 3 community license
  • Quality near 405B in a 70B footprint — 2x H100 deployable
  • Mature ecosystem support — vLLM, TGI, Ollama, llama.cpp
  • Strong tool-use and structured output from post-training

Limitations

  • Text-only — no native vision or audio (see Llama 3.2 for vision)
  • Behind Llama 4 Maverick on long context and MoE efficiency
  • Revenue-cap restrictions in the Llama 3 community license
  • Trails closed frontier on complex agentic tasks

Use cases

  • Production self-hosted assistants and copilots
  • Fine-tuning pipelines on private enterprise data
  • Agentic tooling with tool-use and structured outputs
  • Multilingual chatbots across eight supported languages

Benchmarks

BenchmarkScoreAs of
MMLU≈86%2024-12
HumanEval≈88%2024-12
MATH≈77%2024-12

Frequently asked questions

What changed in Llama 3.3 vs Llama 3.1 70B?

Llama 3.3 70B uses the same base weights and architecture as Llama 3.1 70B, but with a new post-training pipeline (improved SFT + DPO) that lifts reasoning, math, and tool-use benchmarks close to the 405B model.

Is Llama 3.3 70B free to use commercially?

Yes — the Llama 3 community license permits commercial use up to a named MAU threshold (700M+ users), which covers essentially all enterprise deployments.

How does Llama 3.3 compare to Llama 4?

Llama 4 Maverick and Scout use Mixture-of-Experts and are multimodal. Llama 3.3 is dense and text-only but remains the more mature production option with broader tool support.

Sources

  1. Meta — Llama 3.3 announcement — accessed 2026-04-20
  2. Hugging Face — meta-llama/Llama-3.3-70B-Instruct — accessed 2026-04-20