GPT-6 Luna Pro vs MiniMax M2-her
Price, context window & benchmark comparison
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Compare different models
Verdict: GPT-6 Luna Pro is 2.6× cheaper than MiniMax M2-her on a typical 3:1 input/output mix. GPT-6 Luna Pro has the larger context window (1.1M vs 66K).
| GPT-6 Luna Pro | MiniMax M2-her | |
|---|---|---|
| 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 | $0.03 |
| Context window | 1.1M | 66K |
| Max output | 128K | 2K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | 6 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Released | 2026-09-22 | 2026-01-23 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-6 Luna Pro or MiniMax M2-her?
GPT-6 Luna Pro is 2.6× cheaper than MiniMax M2-her on a typical 3:1 input/output mix.
GPT-6 Luna Pro vs MiniMax M2-her: which has a bigger context window?
GPT-6 Luna Pro: 1,050,000 tokens. MiniMax M2-her: 65,536 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6 Luna Pro ≈ $450.00, MiniMax M2-her ≈ $1,200.
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