Llama 4 Scout vs Ternary Bonsai 2 27B
Price, context window & benchmark comparison
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Compare different models
Verdict: Llama 4 Scout is 17% cheaper than Ternary Bonsai 2 27B on a typical 3:1 input/output mix. Llama 4 Scout has the larger context window (1.3M vs 262K).
| Llama 4 Scout | Ternary Bonsai 2 27B | |
|---|---|---|
| Input price / 1M | $0.10 | $0.075 |
| Output price / 1M | $0.30 | $0.50 |
| Blended price (3:1) | $0.15 | $0.18 |
| Cached input / 1M | — | — |
| Context window | 1.3M | 262K |
| Max output | 16K | 33K |
| Intelligence index | — | — |
| Coding index | 8.2 | — |
| Providers | 3 | — |
| Best provider uptime (30m) | 99.9% | — |
| Vision input | Yes | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-04-05 | 2026-09-18 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, Llama 4 Scout or Ternary Bonsai 2 27B?
Llama 4 Scout is 17% cheaper than Ternary Bonsai 2 27B on a typical 3:1 input/output mix.
Llama 4 Scout vs Ternary Bonsai 2 27B: which has a bigger context window?
Llama 4 Scout: 1,310,720 tokens. Ternary Bonsai 2 27B: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Llama 4 Scout ≈ $350.00, Ternary Bonsai 2 27B ≈ $400.00.
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