Llama Guard 4 12B vs Qwen3 235B A22B Thinking 2507
Price, context window & benchmark comparison
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Verdict: Llama Guard 4 12B is 6.7× cheaper than Qwen3 235B A22B Thinking 2507 on a typical 3:1 input/output mix. Llama Guard 4 12B has the larger context window (164K vs 128K).
| Llama Guard 4 12B | Qwen3 235B A22B Thinking 2507 | |
|---|---|---|
| Input price / 1M | $0.18 | $0.45 |
| Output price / 1M | $0.18 | $3.50 |
| Blended price (3:1) | $0.18 | $1.21 |
| Cached input / 1M | — | — |
| Context window | 164K | 128K |
| Max output | 16K | 16K |
| Intelligence index | — | — |
| Coding index | — | 22.1 |
| Providers | 3 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Released | 2025-04-30 | 2025-07-25 |
| Retirement | — | — |
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FAQ
Which is cheaper, Llama Guard 4 12B or Qwen3 235B A22B Thinking 2507?
Llama Guard 4 12B is 6.7× cheaper than Qwen3 235B A22B Thinking 2507 on a typical 3:1 input/output mix.
Llama Guard 4 12B vs Qwen3 235B A22B Thinking 2507: which has a bigger context window?
Llama Guard 4 12B: 163,840 tokens. Qwen3 235B A22B Thinking 2507: 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, Qwen3 235B A22B Thinking 2507 ≈ $2,650.
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