Llama 3.1 8B Instruct

The benchmarklist.com page for Llama 3.1 8B Instruct surfaces an AgentCollabBench evaluation that explicitly tested this Meta variant alongside GPT 4.1 mini, Gemini 2.5 Flash Lite, and Qwen-3.5-35B-A3B across 900 multi-agent tasks designed to expose silent process failures such as instruction decay, false-belief contag The same page lists standard reference pricing ($0.02/$0.03 per 1M tokens) and comparator list pricing, but its most actionable content for developers is the AgentCollabBench finding: using Llama 3.1 8B Instruct as one node in a multi-agent topology can silently drop constraints carried by minority branches at synthesi

The llm-stats benchmark page for Llama 3.1 8B Instruct compiles tracked evaluation scores sourced from the model's Hugging Face scorecard, positioning the variant at overall rank 339 and providing concrete numbers including GSM-8K (chain-of-thought) at 0.84, ARC-Challenge at 0.83, API-Bank tool-use at 0.83, and IFEval The page is explicitly marked as a third-party composite aggregating publicly available scores rather than an independent re-run, with some methodology entries listed as unspecified, so the numbers are best used as a reference baseline rather than as definitive eval results. For a developer evaluating Llama 3.1 8B Inst