GPT-3.5 Turbo 16k vs Llama Guard 4 12B
Price, context window & benchmark comparison
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Verdict: Llama Guard 4 12B is 18.1× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix. Llama Guard 4 12B has the larger context window (164K vs 16K).
| GPT-3.5 Turbo 16k | Llama Guard 4 12B | |
|---|---|---|
| Input price / 1M | $3.00 | $0.18 |
| Output price / 1M | $4.00 | $0.18 |
| Blended price (3:1) | $3.25 | $0.18 |
| Cached input / 1M | — | — |
| Context window | 16K | 164K |
| Max output | 4K | 16K |
| Intelligence index | — | — |
| Coding index | — | — |
| Providers | — | 3 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Released | 2023-08-28 | 2025-04-30 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-3.5 Turbo 16k or Llama Guard 4 12B?
Llama Guard 4 12B is 18.1× cheaper than GPT-3.5 Turbo 16k on a typical 3:1 input/output mix.
GPT-3.5 Turbo 16k vs Llama Guard 4 12B: which has a bigger context window?
GPT-3.5 Turbo 16k: 16,385 tokens. Llama Guard 4 12B: 163,840 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: GPT-3.5 Turbo 16k ≈ $8,000, Llama Guard 4 12B ≈ $450.00.
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