Meta: Llama 3.1 70B Instruct

Meta: Llama 3.1 70B Instruct is a text-only model with a 131k-token context window and support for tool use, making it suitable for agentic workflows that rely on function calling. It does not support reasoning modes or guaranteed structured output, and accepts only text as input. The 16k-token completion ceiling is adequate for most generation tasks but worth checking if your use case demands very long single outputs. At $0.40 per million tokens on both input and output, it sits in a budget-friendly tier. Benchmark coverage is limited to 3 benchmarks with a blended score of 11.5, including a coding subscore of 18.0 and an agentic subscore of 8.4, so performance data is relatively thin compared to more extensively evaluated alternatives. Teams running cost-sensitive, text-based pipelines that need tool-calling support may find it a reasonable shortlist option, but buyers who require broader benchmark evidence before committing should treat current performance data as preliminary.