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Llama-3.1 405B (Instruct)
VS
OpenAI
GPT-5.6 Luna
Analysis By: The WhichLLMModel Editorial Team|Updated: June 2026
Self-Hosted Local Rig vs Cloud API Matrix
| Metric / Spec | Llama-3.1 405B (Instruct)Open Source | GPT-5.6 LunaCloud API |
|---|---|---|
| Pricing Model | $0.00 / token (Free Weights) | $2.25 / 1M Tokens |
| Hardware Needed | 48GB+ VRAM (Multi-GPU) | None (Runs in Cloud) |
| Data Privacy | 100% On-Device / Private | Sent to Cloud Provider |
| Rate Limits & Availability | Zero (Always Available) | Subject to Provider Quotas |
| Context Window | 131.07k | 1.05M |
| Detailed Page | Hardware Details | Model Specs |
Benchmark Parity (Does the Open Model Match the API?)
Coding Benchmark (SWE-bench / HumanEval)
Llama-3.1 405B (Instruct) (Open)89%
GPT-5.6 Luna (API)62.7%
Reasoning Benchmark (GPQA / MMLU)
Llama-3.1 405B (Instruct) (Open)50.7%
GPT-5.6 Luna (API)92.3%
Frequently Asked Questions about Llama-3.1 405B (Instruct) vs GPT-5.6 Luna
For coding tasks, Llama-3.1 405B (Instruct) scores 89% on human-eval (basic standalone code completion and simple functions), while GPT-5.6 Luna scores 62.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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