Meta: Llama 3.1 70B Instruct
Analysis Summary
Llama 3.1 70B Instruct is Meta's mid-size open-weight model, released in July 2024 with a 131K context window, tool use, and function calling support. Its intelligence index of 6.8 and coding index of 10.9 place it in the lower-mid tier of the current landscape, with reasonable MMLU Pro and GPQA scores for its size.
For businesses, it suits general-purpose text generation, document analysis, coding assistance, and structured output tasks where cost efficiency matters. The large context window makes it practical for long-document workflows. Its agentic index is modest, so complex multi-step agent pipelines are better served by larger models.
At $0.40 per million tokens for both input and output, it offers strong value for a capable open-weight model. Teams needing a self-hostable or cost-effective model for mid-complexity business tasks will find it a practical choice, though newer Llama 3.x releases offer improved performance at comparable prices.
Assessed June 17, 2026
Editorial notes
Llama 3.1 70B Instruct from Meta delivers solid general reasoning and coding capability with tool use, function calling, and a 131K context window at very competitive pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Meta: Llama 3.1 70B Instruct compares
Meta: Llama 3.1 70B Instruct ranks #283 of 380 AI models we track for overall intelligence, #264 of 292 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.40 per million input tokens it is cheaper than 39% of comparable models.
About Meta: Llama 3.1 70B Instruct
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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Meta: Llama 3.1 70B Instruct
How much does Meta: Llama 3.1 70B Instruct cost?
Meta: Llama 3.1 70B Instruct costs $0.40 per million input tokens and $0.40 per million output tokens.
What is the context window of Meta: Llama 3.1 70B Instruct?
Meta: Llama 3.1 70B Instruct has a context window of 131,072 tokens (131K).
What can Meta: Llama 3.1 70B Instruct do?
Meta: Llama 3.1 70B Instruct supports tool use and function calling.
Who created Meta: Llama 3.1 70B Instruct?
Meta: Llama 3.1 70B Instruct is developed by Meta and was released on July 23, 2024.
