Hy-MT2-1.8B vs Llama 4 Maverick
Price, context window & benchmark comparison
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Verdict: Hy-MT2-1.8B is 3.9× cheaper than Llama 4 Maverick on a typical 3:1 input/output mix. Llama 4 Maverick has the larger context window (1M vs 8K).
| Hy-MT2-1.8B | Llama 4 Maverick | |
|---|---|---|
| Input price / 1M | $0.044 | $0.19 |
| Output price / 1M | $0.18 | $0.65 |
| Blended price (3:1) | $0.0772 | $0.30 |
| Cached input / 1M | — | — |
| Context window | 8K | 1M |
| Max output | 4K | 16K |
| Intelligence index | — | — |
| Coding index | — | 16.3 |
| Providers | 1 | 5 |
| Best provider uptime (30m) | 100.0% | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Released | 2026-08-20 | 2025-04-05 |
| Retirement | — | — |
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FAQ
Which is cheaper, Hy-MT2-1.8B or Llama 4 Maverick?
Hy-MT2-1.8B is 3.9× cheaper than Llama 4 Maverick on a typical 3:1 input/output mix.
Hy-MT2-1.8B vs Llama 4 Maverick: which has a bigger context window?
Hy-MT2-1.8B: 8,192 tokens. Llama 4 Maverick: 1,048,576 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Hy-MT2-1.8B ≈ $176.50, Llama 4 Maverick ≈ $701.25.
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