token.app › Compare › MiniMax M3 vs GPT-5.6 Luna
MiniMax M3 vs GPT-5.6 Luna
GPT-5.6 Luna leads on 2 of 2 shared benchmarks. GPT-5.6 Luna is 1.2× cheaper per token on a blended 3:1 basis. GPT-5.6 Luna accepts the larger context window (1.1M).
Head to head
Blended price uses a 3:1 input:output mix
| MiniMax M3 | GPT-5.6 Luna | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Input $/1M | $0.300 | $0.200 |
| Output $/1M | $1.20 | $1.20 |
| Blended $/1M | $0.525 | $0.450 |
| Context window | 1.0M | 1.1M |
| Max output | 512K | 128K |
| Released | May 2026 | Jul 2026 |
| Licence | Open weights | Proprietary |
| GPQA Diamond | 90.9% | 91.6% |
| OTIS Mock AIME | 71.1% | 98.3% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose MiniMax M3 if…
- Open weights — self-hostable
Choose GPT-5.6 Luna if…
- Costs less per token — $0.450 vs $0.525 blended
- Higher GPQA Diamond (91.6% vs 90.9%)
- Higher OTIS Mock AIME (98.3% vs 71.1%)
- Larger context window (1.1M)
- Newer model (released Jul 2026)
FAQ
Which is better, MiniMax M3 or GPT-5.6 Luna?
Across the 2 benchmarks both models have independently-run scores for, MiniMax M3 leads on 0 and GPT-5.6 Luna leads on 2. Benchmarks are one input — price and context window are on this page too.
Is MiniMax M3 cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.450 versus $0.525 per million tokens blended at 3:1 input:output. Input alone: $0.300 vs $0.200. Output alone: $1.20 vs $1.20.
What context windows do MiniMax M3 and GPT-5.6 Luna have?
MiniMax M3: 1,048,576 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes MiniMax M3 and GPT-5.6 Luna?
MiniMax M3 is made by MiniMax. GPT-5.6 Luna is made by OpenAI.