Claude Haiku 5.5 vs LFM3-1.7B
Price, context window & benchmark comparison
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Verdict: LFM3-1.7B is 45% cheaper than Claude Haiku 5.5 on a typical 3:1 input/output mix. Claude Haiku 5.5 has the larger context window (1M vs 262K).
| Claude Haiku 5.5 | LFM3-1.7B | |
|---|---|---|
| Input price / 1M | $0.10 | $0.08 |
| Output price / 1M | $0.50 | $0.20 |
| Blended price (3:1) | $0.20 | $0.11 |
| Cached input / 1M | $0.01 | $0.02 |
| Context window | 1M | 262K |
| Max output | 128K | 8K |
| Intelligence index | 36.5 | — |
| Coding index | — | — |
| Providers | 10 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-07 | 2026-11-06 |
| Retirement | — | — |
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FAQ
Which is cheaper, Claude Haiku 5.5 or LFM3-1.7B?
LFM3-1.7B is 45% cheaper than Claude Haiku 5.5 on a typical 3:1 input/output mix.
Claude Haiku 5.5 vs LFM3-1.7B: which has a bigger context window?
Claude Haiku 5.5: 1,000,000 tokens. LFM3-1.7B: 262,144 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: Claude Haiku 5.5 ≈ $450.00, LFM3-1.7B ≈ $260.00.
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