Kimi K3.1 Pro 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 56.7× cheaper than Kimi K3.1 Pro on a typical 3:1 input/output mix. Kimi K3.1 Pro has the larger context window (1M vs 60K).
| Kimi K3.1 Pro | Llama 3.2 1B Instruct | |
|---|---|---|
| Input price / 1M | $2.00 | $0.027 |
| Output price / 1M | $10.00 | $0.20 |
| Blended price (3:1) | $4.00 | $0.0705 |
| Cached input / 1M | $0.20 | — |
| Context window | 1M | 60K |
| Max output | 944K | 54K |
| Intelligence index | 46.5 | — |
| Coding index | — | — |
| Providers | 23 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Released | 2026-10-23 | 2024-09-25 |
| Retirement | — | 2026-11-20 |
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FAQ
Which is cheaper, Kimi K3.1 Pro or Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct is 56.7× cheaper than Kimi K3.1 Pro on a typical 3:1 input/output mix.
Kimi K3.1 Pro vs Llama 3.2 1B Instruct: which has a bigger context window?
Kimi K3.1 Pro: 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: Kimi K3.1 Pro ≈ $9,000, Llama 3.2 1B Instruct ≈ $154.50.
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