Meta: Llama 3.3 70B Instruct (free)
Analysis Summary
Meta Llama 3.3 70B Instruct is Meta's open-weight 70B model, available here at no cost. With an intelligence index of 8.6, an ifbench score of 0.471, and a 131K context window, it punches well above its weight for a free model, covering general reasoning, content drafting, and structured output tasks reliably.
Tool use and function calling support make it usable in agentic pipelines, though the agentic index of 14.8 reflects moderate rather than strong multi-step reliability. Coding capability is present but not a primary strength. It is best suited to content generation, summarisation, classification, and tool-augmented workflows at scale.
For teams with budget constraints or those exploring self-hosted open-weight deployment, this is one of the strongest free options available with measured benchmarks. The combination of zero cost, large context, and tool use makes it a practical default for many business workloads.
Assessed June 30, 2026
Editorial notes
Meta Llama 3.3 70B Instruct (free) delivers strong instruction following, tool use, and a 131K context at zero cost, making it an exceptional value option for content and general business tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Meta: Llama 3.3 70B Instruct (free) compares
Meta: Llama 3.3 70B Instruct (free) ranks #258 of 385 AI models we track for overall intelligence, #116 of 139 for coding, #224 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. Meta: Llama 3.3 70B Instruct (free) is currently free to use via OpenRouter.
About Meta: Llama 3.3 70B Instruct (free)
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 professional 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 | 131,072 tokens |
| Status | Active |
Leaderboard Categories
External Resources
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Frequently asked questions about Meta: Llama 3.3 70B Instruct (free)
How much does Meta: Llama 3.3 70B Instruct (free) cost?
Meta: Llama 3.3 70B Instruct (free) is currently available for free via OpenRouter.
What is the context window of Meta: Llama 3.3 70B Instruct (free)?
Meta: Llama 3.3 70B Instruct (free) has a context window of 131,072 tokens (131K).
Is Meta: Llama 3.3 70B Instruct (free) good for coding?
On our coding benchmark index, Meta: Llama 3.3 70B Instruct (free) ranks #116 of 139 models, placing it in the broader range of the field for code generation and debugging.
What can Meta: Llama 3.3 70B Instruct (free) do?
Meta: Llama 3.3 70B Instruct (free) supports tool use and function calling.
Who created Meta: Llama 3.3 70B Instruct (free)?
Meta: Llama 3.3 70B Instruct (free) is developed by Meta and was released on December 6, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 2, 2026 8:38 pm