Meta: Llama 3.3 70B Instruct (free)
Analysis Summary
Meta's Llama 3.3 70B Instruct is a free-tier open-weight model with an intelligence index of 8.6 and a coding index of 10.7. Tool use and function calling are supported, and its instruction-following score of 0.471 is competitive for a model at this price point. MMLU-Pro at 0.713 and GPQA at 0.498 reflect solid general knowledge.
For businesses, it suits content generation, structured data extraction, and lightweight tool-augmented workflows where cost is a primary concern. The 131K context window handles most document lengths. Its agentic index of 14.8 is modest, and the absence of vision limits multimodal use cases.
At zero cost, it offers exceptional value for teams willing to use a third-party hosting provider or self-host. It is a strong default choice for budget-conscious teams running content or tool-use pipelines, and a practical baseline for evaluating whether a paid model delivers sufficient uplift for a given workload.
Assessed June 17, 2026
Editorial notes
Llama 3.3 70B Instruct is available free from Meta, with tool use, function calling, and a strong ifbench score of 0.471, making it an excellent zero-cost option for content and structured workflows.
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 #254 of 380 AI models we track for overall intelligence, #235 of 317 for coding, #221 of 292 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 #235 of 317 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: June 17, 2026 9:41 am