Meta: Llama 3.1 70B Instruct
Analysis Summary
Meta's Llama 3.1 70B Instruct is a larger instruction model with a 131K context window, tool use, and function calling. The supplied measurements show stronger general language results than the 8B version and useful agentic performance, while coding and long-context results remain limited. Pricing is $0.40 per million input and output tokens.
It fits structured assistants, retrieval-based support, data extraction, and agent workflows with clear guardrails. The context capacity is valuable for documents and knowledge bases, but the model should not be trusted with complex autonomous coding or high-stakes reasoning without review. It remains a practical budget option for controlled workflows, especially where open deployment and tool integration matter more than frontier quality.
Assessed September 7, 2026
Editorial notes
Llama 3.1 70B Instruct provides a 131K context, tool use, and function calling at moderate cost, making it useful for structured agents, though measured reasoning and coding capability is limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.1 70B Instruct provides a 131K context, tool use, and function calling at moderate cost, making it useful for structured agents, though measured reasoning and coding capability is limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.8 Intelligence Index·9.1 Agentic Index·4 Math Index
How Meta: Llama 3.1 70B Instruct compares
Meta: Llama 3.1 70B Instruct ranks #329 of 438 AI models we track for overall intelligence, #120 of 192 for agentic tasks. Its 131K-token context window is larger than 47% of the models we list. At $0.40 per million input tokens it is cheaper than 42% 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 | $0.40 | $0.000400 |
| Output | $0.40 | $0.000400 |
What would Meta: Llama 3.1 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 3.1 70B Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Meta: Llama 3.1 70B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong..
Frequently asked questions about Meta: Llama 3.1 70B Instruct
How much does Meta: Llama 3.1 70B Instruct cost?
Meta: Llama 3.1 70B Instruct costs $0.40 per million input tokens and $0.40 per million output tokens.
What is the context window of Meta: Llama 3.1 70B Instruct?
Meta: Llama 3.1 70B Instruct has a context window of 131,072 tokens (131K).
What can Meta: Llama 3.1 70B Instruct do?
Meta: Llama 3.1 70B Instruct supports tool use and function calling.
Who created Meta: Llama 3.1 70B Instruct?
Meta: Llama 3.1 70B Instruct is developed by Meta and was released on July 23, 2024.