Meta: Llama 3 8B Instruct
Analysis Summary
Llama 3 8B Instruct is the compact member of Meta's Llama 3 instruction family. It has an 8,192-token context window, text-only generation, and pricing of $0.14 per million input and output tokens. The supplied reasoning index is 1.2, with low results across knowledge, coding, and instruction-following evaluations. No tool or function-calling capability is listed.
The price makes it relevant to simple tagging, metadata generation, classification, and other constrained SEO operations with strong validation. It is not appropriate for nuanced copywriting, long documents, software engineering, or autonomous agents. Use it only where predictable templates and post-processing can contain errors, and select a stronger model whenever the output is directly visible to a client or customer.
Assessed August 9, 2026
Editorial notes
Llama 3 8B Instruct is inexpensive and suitable for tightly templated text operations, but its low measured capability, 8K context, and absence of tool support rule out demanding client work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3 8B Instruct is inexpensive and suitable for tightly templated text operations, but its low measured capability, 8K context, and absence of tool support rule out demanding client work.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
1.2 Intelligence Index
How Meta: Llama 3 8B Instruct compares
Meta: Llama 3 8B Instruct ranks #409 of 420 AI models we track for overall intelligence. Its 8K-token context window is larger than 22% of the models we list. At $0.14 per million input tokens it is cheaper than 62% 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 | $0.14 | $0.000140 |
| Output | $0.14 | $0.000140 |
What would Meta: Llama 3 8B 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3 8B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3 8B Instruct
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong..
Frequently asked questions about Meta: Llama 3 8B Instruct
How much does Meta: Llama 3 8B Instruct cost?
Meta: Llama 3 8B Instruct costs $0.14 per million input tokens and $0.14 per million output tokens.
What is the context window of Meta: Llama 3 8B Instruct?
Meta: Llama 3 8B Instruct has a context window of 8,192 tokens (8K).
Who created Meta: Llama 3 8B Instruct?
Meta: Llama 3 8B Instruct is developed by Meta and was released on April 18, 2024.
