Meta: Llama 3.3 70B Instruct
Analysis Summary
Meta's Llama 3.3 70B Instruct is a tool-capable open-weight model priced at $0.10 input and $0.32 output per million tokens. It supports tool use and function calling, which makes it relevant for agentic pipelines, but this specific paid listing carries no benchmark data, making it impossible to independently verify performance.
The free variant of the same model (id 20906) has full benchmark data showing a reasonable intelligence index and solid instruction-following scores, suggesting the underlying model is capable. However, without confirmed benchmarks for this paid version, it cannot be scored on measured capability.
Teams looking to use Llama 3.3 70B should reference the benchmarked free version for capability assessment. The paid variant may offer reliability or throughput advantages depending on the provider, but capability claims cannot be independently confirmed here.
Assessed June 6, 2026
Editorial notes
Meta Llama 3.3 70B Instruct supports tool use and function calling at low cost, but this paid variant has no benchmark data; the free version with full benchmarks is a better-evidenced choice.
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 compares
Its 131K-token context window is larger than 59% of the models we list. At $0.10 per million input tokens it is cheaper than 66% of comparable models.
About Meta: Llama 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..
Capabilities
Architecture Detail
| Instruct Type | llama3 |
How does Meta: Llama 3.3 70B Instruct stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.3-70b-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | December 6, 2024 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.32 | $0.000320 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
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Frequently asked questions about Meta: Llama 3.3 70B Instruct
How much does Meta: Llama 3.3 70B Instruct cost?
Meta: Llama 3.3 70B Instruct costs $0.10 per million input tokens and $0.32 per million output tokens.
What is the context window of Meta: Llama 3.3 70B Instruct?
Meta: Llama 3.3 70B Instruct has a context window of 131,072 tokens (131K).
What can Meta: Llama 3.3 70B Instruct do?
Meta: Llama 3.3 70B Instruct supports tool use and function calling.
Who created Meta: Llama 3.3 70B Instruct?
Meta: Llama 3.3 70B Instruct 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 9, 2026 9:57 pm