Meta: Llama 3.3 70B Instruct
Analysis Summary
Meta: Llama 3.3 70B Instruct sits in the Legacy tier on our leaderboard, ranked #301 of 556 published models on overall intelligence. At $0.100 input and $0.320 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use and function calling.
Editorial notes
Llama 3.3 70B Instruct from Meta offers tool use, function calling, and a 131K context at very low cost ($0.10 input per million tokens), though no benchmark data is available in this listing; strong value for open-weight deployments.
Assessed May 14, 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 |
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 ā refreshed every 30 minutes.
