Meta: Llama 3.3 70B Instruct (free)
Analysis Summary
Meta's Llama 3.3 70B Instruct (free tier) is a well-rounded open-weight model with an intelligence index of 14.5, solid instruction-following scores, and support for tool use and function calling. Its livecodebench and scicode scores are reasonable for a model at this size, and the 131K context window covers most business document tasks.
For businesses, it is a strong fit for content generation, structured extraction, lightweight agentic pipelines, and general-purpose assistants where cost is a constraint. Instruction-following performance is above average for its tier, and the free pricing makes it exceptionally accessible for prototyping or high-volume, low-complexity workflows.
As a free model, it offers outstanding value for teams that can self-host or access it via a free API tier. It is not suited to frontier reasoning or complex coding tasks, but for a broad range of everyday business applications it is one of the most cost-effective options available.
Assessed June 6, 2026
Editorial notes
Llama 3.3 70B Instruct (free) from Meta delivers strong instruction following, tool use, and function calling at zero cost, making it one of the best value open-weight options for general business use.
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 #241 of 374 AI models we track for overall intelligence, #228 of 311 for coding, #215 of 286 for agentic tasks. Its 131K-token context window is larger than 60% 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 #228 of 311 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 5, 2026 8:38 pm