Meta: Llama 3.3 70B Instruct
Analysis Summary
Meta's Llama 3.3 70B Instruct is a large text-generation model with a 131K context window, tool use, and function calling. Its listed pricing is exceptionally low compared with premium hosted models, making it attractive for high-volume content operations, classification, and workflow automation. The context size also supports sizeable briefs and document collections.
It is a good candidate for SEO drafts, content variations, internal knowledge tasks, and tool-connected applications where cost control is central. The absence of benchmark data for this listing limits confidence about reasoning depth, coding performance, and instruction-following consistency. Teams should test factuality, tone control, and structured output on their own workloads before using it for unsupervised client-facing copy. It is best positioned as a volume or self-managed workflow option rather than a proven flagship.
Assessed August 9, 2026
Editorial notes
Llama 3.3 70B Instruct combines a 131K context window with tool use and function calling at very low listed pricing, but this listing has no benchmark data to verify production-level reasoning.
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DFO Verdict
Llama 3.3 70B Instruct combines a 131K context window with tool use and function calling at very low listed pricing, but this listing has no benchmark data to verify production-level reasoning.
How Meta: Llama 3.3 70B Instruct compares
Its 131K-token context window is larger than 50% of the models we list. At $0.10 per million input tokens it is cheaper than 69% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.32 | $0.000320 |
What would Meta: Llama 3.3 70B Instruct cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 717 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3.3 70B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model..
Frequently asked questions about Meta: Llama 3.3 70B Instruct
How much does Meta: Llama 3.3 70B Instruct cost?
Meta: Llama 3.3 70B Instruct costs $0.10 per million input tokens and $0.32 per million output tokens.
What is the context window of Meta: Llama 3.3 70B Instruct?
Meta: Llama 3.3 70B Instruct has a context window of 131,072 tokens (131K).
What can Meta: Llama 3.3 70B Instruct do?
Meta: Llama 3.3 70B Instruct supports tool use and function calling.
Who created Meta: Llama 3.3 70B Instruct?
Meta: Llama 3.3 70B Instruct is developed by Meta and was released on December 6, 2024.