Meta Llama-3.1 70B VS xAI Grok 4.5
⚖️Our Take
This matchup is a choice between local privacy and cloud scale. Llama-3.1 70B runs entirely on your own hardware for zero API costs and absolute data privacy. However, Grok 4.5 is served via cloud API, offering superior reasoning accuracy (+46.3% on GPQA Diamond) and a significantly larger context window (500k vs 131k). We recommend Llama-3.1 70B for private, offline workflows, or Grok 4.5 if you need to process large context sizes or require peak intelligence.
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Benchmarks & Scores
Coding (human-eval)
80.5%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
46.7%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensBenchmarks & Scores
Coding (swe-bench-pro)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+46.3%)
93%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context WindowLarger
500k tokensFrequently Asked Questions about Llama-3.1 70B vs Grok 4.5 comparison
For coding tasks, Llama-3.1 70B scores 80.5% on human-eval (good at code completion, standalone functions, and basic algorithms), while Grok 4.5 scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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