Meta: Llama 3.3 70B Instruct
Analysis Summary
Llama 3.3 70B Instruct is a text-only Meta model with a 131K context window, tool use, and function calling. Its listed input and output prices are very low, which makes it an economical candidate for trials and volume-oriented workflows. No benchmark results are provided for this listing, so its reasoning, coding, and instruction-following performance cannot be verified from the available data.
The context length and integration features may suit routine content generation and bounded automation, particularly when the workflow includes human review. However, tool support does not demonstrate agentic reliability, and the absence of measurements means teams should validate consistency and factual accuracy before producing client-facing outputs. Self-hosting is not specified in the supplied information and should not be assumed.
Consider it for cost-sensitive pilots with clear quality checks. Promote it to a production role only after testing against real prompts and comparing its output quality with measured alternatives.
Assessed September 23, 2026
Editorial notes
Llama 3.3 70B Instruct combines a 131K context window and tool and function calling with very low listed prices; this listing has no benchmark results.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Llama 3.3 70B Instruct combines a 131K context window and tool and function calling with very low listed prices; this listing has no benchmark results.
How Meta: Llama 3.3 70B Instruct compares
Its 131K-token context window is larger than 51% of the models we list. At $0.10 per million input tokens it is cheaper than 65% 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.
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.
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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.