Meta: Llama 3.3 70B Instruct
Analysis Summary
Llama 3.3 70B Instruct is Meta's open-weight general model, offering a 131K context window, tool use, and function calling at very low listed pricing. Its text-only profile suits structured generation, coding assistance, document transformation, and high-volume content operations where teams value deployment flexibility and predictable token economics.
For an agency, it is a useful candidate for SEO outlines, metadata, content variants, internal assistants, and routine developer tasks. The supplied record has no benchmark results, so its reasoning, instruction-following, and coding quality should be validated rather than inferred from model size or ecosystem familiarity. It also lacks vision and file-specific input in the listed modality.
Test it against brand-voice, structured-output, and code-review tasks. It is attractive for volume workloads, but benchmarked alternatives may be safer for demanding client deliverables.
Assessed September 7, 2026
Editorial notes
Llama 3.3 70B Instruct is a low-cost open-weight workhorse with a 131K context window, tool use, and function calling, though this record supplies no benchmark data for quality validation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.3 70B Instruct is a low-cost open-weight workhorse with a 131K context window, tool use, and function calling, though this record supplies no benchmark data for quality validation.
How Meta: Llama 3.3 70B Instruct compares
Its 131K-token context window is larger than 47% 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 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.