Kimi K3.1 Pro vs LFM2.5-24B-A2B
Price, context window & benchmark comparison
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Compare different models
Verdict: LFM2.5-24B-A2B is 18.8× 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 128K).
| Kimi K3.1 Pro | LFM2.5-24B-A2B | |
|---|---|---|
| Input price / 1M | $2.00 | $0.05 |
| Output price / 1M | $10.00 | $0.70 |
| Blended price (3:1) | $4.00 | $0.21 |
| Cached input / 1M | $0.20 | $0.025 |
| Context window | 1M | 128K |
| Max output | 944K | 8K |
| Intelligence index | 46 | — |
| Coding index | — | — |
| Providers | 2 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-23 | 2026-10-13 |
| Retirement | — | — |
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FAQ
Which is cheaper, Kimi K3.1 Pro or LFM2.5-24B-A2B?
LFM2.5-24B-A2B is 18.8× cheaper than Kimi K3.1 Pro on a typical 3:1 input/output mix.
Kimi K3.1 Pro vs LFM2.5-24B-A2B: which has a bigger context window?
Kimi K3.1 Pro: 1,048,576 tokens. LFM2.5-24B-A2B: 128,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Kimi K3.1 Pro ≈ $9,000, LFM2.5-24B-A2B ≈ $450.00.
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