GPT-5.6 Luna vs Hy-MT2-1.8B
Price, context window & benchmark comparison
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Compare different models
Verdict: Hy-MT2-1.8B is 5.8× cheaper than GPT-5.6 Luna on a typical 3:1 input/output mix. GPT-5.6 Luna has the larger context window (1.1M vs 8K).
| GPT-5.6 Luna | Hy-MT2-1.8B | |
|---|---|---|
| Input price / 1M | $0.20 | $0.044 |
| Output price / 1M | $1.20 | $0.18 |
| Blended price (3:1) | $0.45 | $0.0772 |
| Cached input / 1M | $0.02 | — |
| Context window | 1.1M | 8K |
| Max output | 128K | 4K |
| Intelligence index | 37.3 | — |
| Coding index | 71.4 | — |
| Providers | 7 | 1 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Released | 2026-07-09 | 2026-08-20 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-5.6 Luna or Hy-MT2-1.8B?
Hy-MT2-1.8B is 5.8× cheaper than GPT-5.6 Luna on a typical 3:1 input/output mix.
GPT-5.6 Luna vs Hy-MT2-1.8B: which has a bigger context window?
GPT-5.6 Luna: 1,050,000 tokens. Hy-MT2-1.8B: 8,192 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-5.6 Luna ≈ $1,000, Hy-MT2-1.8B ≈ $176.50.
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