Meta Llama-3.1 405B VS OpenAI GPT-5.6 Sol
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, GPT-5.6 Sol is the premium intelligence choice, scoring 24.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Llama-3.1 405B is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Llama-3.1 405B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Sol fully justifies the cost.
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Model Specs
Llama-3.1 405B
Benchmarks & Scores
Coding (human-eval)
89%good at code completion, standalone functions, and basic algorithms
Reasoning (gpqa-diamond)
50.7%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
N/AInput: N/A | Output: N/AContext Window
131.07k tokensModel Specs
GPT-5.6 Sol
Benchmarks & Scores
Coding (swe-bench-pro)
64.6%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+43.9%)
94.6%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensFrequently Asked Questions about Llama-3.1 405B vs GPT-5.6 Sol comparison
For coding tasks, Llama-3.1 405B scores 89% on human-eval (good at code completion, standalone functions, and basic algorithms), while GPT-5.6 Sol scores 64.6% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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