GPT-6.1 Terra vs MiniMax M2-her
Price, context window & benchmark comparison
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Compare different models
Verdict: MiniMax M2-her is 3.8× cheaper than GPT-6.1 Terra on a typical 3:1 input/output mix. GPT-6.1 Terra has the larger context window (1.1M vs 66K).
| GPT-6.1 Terra | MiniMax M2-her | |
|---|---|---|
| Input price / 1M | $1.00 | $0.30 |
| Output price / 1M | $5.00 | $1.20 |
| Blended price (3:1) | $2.00 | $0.52 |
| Cached input / 1M | $0.05 | $0.03 |
| Context window | 1.1M | 66K |
| Max output | 128K | 2K |
| Intelligence index | 51.3 | — |
| Coding index | — | — |
| Providers | 7 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Released | 2026-10-26 | 2026-01-23 |
| Retirement | — | 2026-11-05 |
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FAQ
Which is cheaper, GPT-6.1 Terra or MiniMax M2-her?
MiniMax M2-her is 3.8× cheaper than GPT-6.1 Terra on a typical 3:1 input/output mix.
GPT-6.1 Terra vs MiniMax M2-her: which has a bigger context window?
GPT-6.1 Terra: 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-6.1 Terra ≈ $4,500, MiniMax M2-her ≈ $1,200.
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