GPT-6 Luna vs MiniMax M2
Price, context window & benchmark comparison
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Compare different models
Verdict: GPT-6 Luna is 2.6× cheaper than MiniMax M2 on a typical 3:1 input/output mix. GPT-6 Luna has the larger context window (1.1M vs 205K).
| GPT-6 Luna | MiniMax M2 | |
|---|---|---|
| Input price / 1M | $0.10 | $0.30 |
| Output price / 1M | $0.50 | $1.20 |
| Blended price (3:1) | $0.20 | $0.52 |
| Cached input / 1M | $0.01 | — |
| Context window | 1.1M | 205K |
| Max output | 128K | 177K |
| Intelligence index | 37.3 | — |
| Coding index | — | — |
| Providers | 7 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-09-22 | 2025-10-23 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, GPT-6 Luna or MiniMax M2?
GPT-6 Luna is 2.6× cheaper than MiniMax M2 on a typical 3:1 input/output mix.
GPT-6 Luna vs MiniMax M2: which has a bigger context window?
GPT-6 Luna: 1,050,000 tokens. MiniMax M2: 204,800 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6 Luna ≈ $450.00, MiniMax M2 ≈ $1,200.
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