GPT-6 Luna vs MiniMax M3.1-Flash-Preview
A direct, empirical evaluation of GPT-6 Luna (OpenAI) against MiniMax M3.1-Flash-Preview (MiniMax).
GPT-6 Luna
Developed by OpenAI · Proprietary High-Throughput Distillation parameters
High-throughput document extraction, sub-second routing, customer service triage, code autocomplete, and cost-optimized reasoning via Luna Pro mode.
MiniMax M3.1-Flash-Preview
Developed by MiniMax · Proprietary Sparse Coding MoE parameters
Low-latency interactive IDE code completions at 165 tokens/sec, SWE-bench Verified bug fixes (73.8%), terminal automation, and budget-optimized pull request reviews.
| Metric | GPT-6 Luna | MiniMax M3.1-Flash-Preview |
|---|---|---|
| SWE-bench Verified | 48.2% | 73.8% |
| MMLU-Pro | 74.6% | 81.2% |
| MATH-500 | 84.1% | 92.4% |
| Context Window | 1,050,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.10 | $0.10 |
| Output Pricing (per 1M) | $0.50 | $0.40 |