GoogleGemini 2.5 ProVSMetaLlama-3.1 405B
Our Take
We recommend Gemini 2.5 Pro if you need peak intelligence and a much larger context window for full-repo analysis, or the free Llama-3.1 405B if you want zero API costs and total offline privacy. While Gemini 2.5 Pro offers superior reasoning capability, Llama-3.1 405B runs entirely on your own local hardware. Choose Gemini 2.5 Pro for repository-scale analysis, or Llama-3.1 405B 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. Gemini 2.5 Pro scored 84.4%, while Llama-3.1 405B scored 50.7% (+33.7% gap).
Coding Performance: Evaluated on different benchmarks. Llama-3.1 405B scored 89% on HumanEval (basic standalone code completion and simple functions), while Gemini 2.5 Pro scored 59.6% on SWE-bench Verified (multi-file code and clearly defined tasks).
Context Window: Gemini 2.5 Pro supports a 1M context window, while Llama-3.1 405B supports 131k.
Hosting Model: Llama-3.1 405B runs locally for $0 API costs, while Gemini 2.5 Pro is a cloud API.
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Benchmarks & Scores
Coding (swe-bench-verified)
59.6%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+33.7%)
84.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (human-eval)
89%basic standalone code completion and simple functions
Reasoning (gpqa-diamond)
50.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensFrequently Asked Questions about Gemini 2.5 Pro vs Llama-3.1 405B
For coding tasks, Gemini 2.5 Pro scores 59.6% on swe-bench-verified (multi-file code and clearly defined tasks), while Llama-3.1 405B scores 89% on human-eval (basic standalone code completion and simple functions).
Related Matchups
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