AgenticMarket
MetaOpen WeightCutoff: 2023-12-31Released: 2024-12-06Llama 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...
ARCHITECTURE & LIMITS
MetaBENCHMARK EVALUATIONS & CODE METRICS
Verified scores from SWE-bench and Artificial Analysis.
Independent coding benchmark evaluating syntax, algorithms, and code completion
Resolving real-world GitHub issues end-to-end without human intervention
Broad multi-domain reasoning, science, and knowledge retrieval
Autonomous multi-step tool use, API calling, and task execution
TOKEN COST CALCULATOR
Estimate production API costs for Llama 3.3 70B Instruct.
COMMUNITY ENGINEERING EVALUATIONS
Verified ratings across 4 core software engineering dimensions.
Refactoring accuracy, syntax correctness, and adherence to design patterns.
Zero hallucinations, strict constraint compliance, and negative prompt respect.
Time-to-first-token (TTFT) and throughput tokens per second.
Token pricing economics relative to intelligence quality and output volume.
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RECOMMENDED AGENT SKILLS FOR Llama 3.3 70B Instruct
procurement-optimizer
Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base — when the user needs a spend audit, spend categorization (UNSPSC-aligned with Pareto breakdown and industry profiles), purchasing-cycle analysis (bottleneck categories per Goldratt's Theory of Constraints), or risk-balanced supplier consolidation that refuses single-source recommendations for tier-1 categories without a documented break-glass plan. Triggers on "spend audit", "SaaS audit", "spend categorization", "supplier rationalization", "supplier consolidation", "category strategy", "duplicate SaaS", "renewal cluster".
FREQUENTLY ASKED QUESTIONS ABOUT Llama 3.3 70B Instruct
What are the input and output token prices for Llama 3.3 70B Instruct?+
Llama 3.3 70B Instruct costs $0.10 per 1M input tokens and $0.32 per 1M output tokens.
Does Llama 3.3 70B Instruct support tool calling and agent execution?+
Yes, Llama 3.3 70B Instruct natively supports tool calling, parallel function execution, and structured agent workflows.
What is the context window of Llama 3.3 70B Instruct?+
Llama 3.3 70B Instruct features an active context window of 131,072 tokens with a maximum single-turn output of 16,384 tokens.
What AI Agent Skills work best with Llama 3.3 70B Instruct?+
Because Llama 3.3 70B Instruct is optimized for agentic tool calling and code reasoning, it pairs well with Agent Skills like Boardroom, SEO Audit, and UI/UX Pro Max.