Meta: Llama 3.3 70B Instruct (free)
Analysis Summary
Meta: Llama 3.3 70B Instruct (free) sits in the Emerging tier on our leaderboard, ranked #387 of 551 published models on overall intelligence. At $0.000 input and $0.000 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window and supports tool use and function calling.
Editorial notes
Llama 3.3 70B Instruct (free) offers solid instruction-following and tool use at zero cost, with a 65K context, though its intelligence and agentic scores reflect an older generation.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
Architecture Detail
| Instruct Type | llama3 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3.3 70B Instruct (free) stack up?
Compare side-by-side with other emerging models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.3-70b-instruct:free
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | December 6, 2024 |
| Context Length | 65,536 tokens |
| Status | Active |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 11, 2026 8:38 pm