Meta: Llama 3.1 70B Instruct
Analysis Summary
Meta: Llama 3.1 70B Instruct sits in the Efficient tier on our leaderboard, ranked #216 of 544 published models on overall intelligence. At $0.400 input and $0.400 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 3.1 70B Instruct from Meta delivers moderate general capability with tool use and a 131K context window at low cost, though benchmark scores indicate limited reasoning depth.
Assessed May 5, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong..
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 3.1 70B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.1-70b-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | July 23, 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 | $0.40 | $0.000400 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
