MetaLlama-3.3-70BVSOpenAIGPT-5.4
Our Take
We recommend GPT-5.4 if you need peak intelligence and a much larger context window for full-repo analysis, or the free Llama-3.3-70B if you want zero API costs and total offline privacy. While GPT-5.4 offers superior reasoning capability, Llama-3.3-70B runs entirely on your own local hardware. Choose GPT-5.4 for repository-scale analysis, or Llama-3.3-70B for zero-cost offline privacy and basic standalone code completion and simple functions.
▶WHY?
Benchmark Calculations & Evidence:
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 scored 92.8%, while Llama-3.3-70B scored 50.5% (+42.3% gap).
Coding Performance: Evaluated on different benchmarks. Llama-3.3-70B scored 88.4% on HumanEval (basic standalone code completion and simple functions), while GPT-5.4 scored 57.7% on SWE-bench Pro (complex codebases, multi-file repositories, and architectural planning).
Context Window: GPT-5.4 supports a 1M context window, while Llama-3.3-70B supports 131k.
Hosting Model: Llama-3.3-70B runs locally for $0 API costs, while GPT-5.4 is a cloud API.
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Benchmarks & Scores
Coding (human-eval)
88.4%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
50.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensBenchmarks & Scores
Coding (swe-bench-pro)
57.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+42.3%)
92.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Llama-3.3-70B vs GPT-5.4
For coding tasks, Llama-3.3-70B scores 88.4% on human-eval (basic standalone code completion and simple functions), while GPT-5.4 scores 57.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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