Hy4 vs Llama 3.2 1B Instruct
Price, context window & benchmark comparison
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Compare different models
Verdict: Llama 3.2 1B Instruct is 8.9× cheaper than Hy4 on a typical 3:1 input/output mix. Hy4 has the larger context window (1M vs 60K).
| Hy4 | Llama 3.2 1B Instruct | |
|---|---|---|
| Input price / 1M | $0.42 | $0.027 |
| Output price / 1M | $1.25 | $0.20 |
| Blended price (3:1) | $0.63 | $0.0705 |
| Cached input / 1M | $0.021 | — |
| Context window | 1M | 60K |
| Max output | 66K | 54K |
| Intelligence index | 34.6 | — |
| Coding index | — | — |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Released | 2026-11-04 | 2024-09-25 |
| Retirement | — | 2026-11-20 |
Cost calculator
FAQ
Which is cheaper, Hy4 or Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct is 8.9× cheaper than Hy4 on a typical 3:1 input/output mix.
Hy4 vs Llama 3.2 1B Instruct: which has a bigger context window?
Hy4: 1,048,576 tokens. Llama 3.2 1B Instruct: 60,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Hy4 ≈ $1,459, Llama 3.2 1B Instruct ≈ $154.50.
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