The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
- Context window: 131,072 tokens
- Input: text
- Output: text
- Pricing: $0.22/M input tokens, $0.5/M output tokens
Community sentiment
Positive (+33) — 1 positive, 0 negative, 1 neutral across 2 community samples from X and the web, as of 2026-10-02.
Community commentary about Llama 3.3 70B Instruct highlights solid inference-gateway benchmark performance but mixed results on structured workflow tests, passing some cases and failing others.
- “Benchmarked these 3 community inference gateways. Stats look solid: 🔹 SambaNova · Meta-Llama-3.3-70B-Instruct ▫️ URL: https://t.co/rzc8wNgG0o ▫️ KEY: sk-huc-live-2dfc02186dc9e564bababb644e05d9102a0f 🔹 Opencode Space Bunny Free · gpt-4o ▫️ URL: https://t.co/zIEQnYSG6C ▫️ KEY: sk” — X
- “Llama 3.3 70B passed the small jobs, then the review lane collapsed — 7 days ago · The 70B model opened well. It passed four of six bounded workflow cases, including the evidence-heavy extraction test, and handled two structured portfolio ...” — the web
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