GPT-6.1 Terra Pro vs Trinity Large Thinking
Price, context window & benchmark comparison
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Compare different models
Verdict: Trinity Large Thinking is 5.2× cheaper than GPT-6.1 Terra Pro on a typical 3:1 input/output mix. GPT-6.1 Terra Pro has the larger context window (1.1M vs 262K).
| GPT-6.1 Terra Pro | Trinity Large Thinking | |
|---|---|---|
| Input price / 1M | $1.00 | $0.25 |
| Output price / 1M | $5.00 | $0.80 |
| Blended price (3:1) | $2.00 | $0.39 |
| Cached input / 1M | $0.05 | $0.06 |
| Context window | 1.1M | 262K |
| Max output | 128K | 80K |
| Intelligence index | — | 10.8 |
| Coding index | — | 25.8 |
| Providers | 6 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-26 | 2026-04-01 |
| Retirement | — | 2026-10-26 |
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FAQ
Which is cheaper, GPT-6.1 Terra Pro or Trinity Large Thinking?
Trinity Large Thinking is 5.2× cheaper than GPT-6.1 Terra Pro on a typical 3:1 input/output mix.
GPT-6.1 Terra Pro vs Trinity Large Thinking: which has a bigger context window?
GPT-6.1 Terra Pro: 1,050,000 tokens. Trinity Large Thinking: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-6.1 Terra Pro ≈ $4,500, Trinity Large Thinking ≈ $900.00.
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