Llama Guard 4 12B vs Schematron V2 Turbo
Price, context window & benchmark comparison
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Compare different models
Verdict: Schematron V2 Turbo is 3.0× cheaper than Llama Guard 4 12B on a typical 3:1 input/output mix. Llama Guard 4 12B has the larger context window (164K vs 128K).
| Llama Guard 4 12B | Schematron V2 Turbo | |
|---|---|---|
| Input price / 1M | $0.18 | $0.03 |
| Output price / 1M | $0.18 | $0.15 |
| Blended price (3:1) | $0.18 | $0.06 |
| Cached input / 1M | — | $0.03 |
| Context window | 164K | 128K |
| Max output | 16K | 8K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | 1 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | No | No |
| Tool calling | No | No |
| Released | 2025-04-30 | 2026-09-12 |
| Retirement | — | — |
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FAQ
Which is cheaper, Llama Guard 4 12B or Schematron V2 Turbo?
Schematron V2 Turbo is 3.0× cheaper than Llama Guard 4 12B on a typical 3:1 input/output mix.
Llama Guard 4 12B vs Schematron V2 Turbo: which has a bigger context window?
Llama Guard 4 12B: 163,840 tokens. Schematron V2 Turbo: 128,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Llama Guard 4 12B ≈ $450.00, Schematron V2 Turbo ≈ $135.00.
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