Meta: Llama 3 70B Instruct
Analysis Summary
Llama 3 70B Instruct is Meta's large open-weight instruction model, priced well for its capability and supported by a broad deployment ecosystem. The supplied results show useful general reasoning, instruction following, and coding performance, with enough capacity for drafting, classification, and developer assistance.
It fits cost-sensitive content pipelines, internal search assistants, and coding tools where teams can host or route the model through a compatible provider. Its open-weight nature can support custom deployment choices. The 8,192-token context is restrictive for long briefs and codebases, and the low agentic and terminal results argue against unsupervised multi-step execution.
Use it as a budget workhorse with human review and carefully bounded prompts. It is a stronger practical choice than smaller open models in this batch, but not a first choice for long-context analysis or autonomous agents.
Assessed September 7, 2026
Editorial notes
Llama 3 70B Instruct delivers affordable general writing and coding with open-weight deployment flexibility, but its short 8K context and limited agentic reliability restrict complex client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3 70B Instruct delivers affordable general writing and coding with open-weight deployment flexibility, but its short 8K context and limited agentic reliability restrict complex client workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
3.5 Intelligence Index·0.8 Agentic Index
How Meta: Llama 3 70B Instruct compares
Meta: Llama 3 70B Instruct ranks #434 of 438 AI models we track for overall intelligence, #178 of 192 for agentic tasks. Its 8K-token context window is larger than 19% of the models we list. At $0.51 per million input tokens it is cheaper than 37% 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 | $0.51 | $0.000510 |
| Output | $0.74 | $0.000740 |
What would Meta: Llama 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 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3 70B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3 70B Instruct
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong..
Frequently asked questions about Meta: Llama 3 70B Instruct
How much does Meta: Llama 3 70B Instruct cost?
Meta: Llama 3 70B Instruct costs $0.51 per million input tokens and $0.74 per million output tokens.
What is the context window of Meta: Llama 3 70B Instruct?
Meta: Llama 3 70B Instruct has a context window of 8,192 tokens (8K).
Who created Meta: Llama 3 70B Instruct?
Meta: Llama 3 70B Instruct is developed by Meta and was released on April 18, 2024.