LFM3-1.7B vs Mistral Large 4
Price, context window & benchmark comparison
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Compare different models
Verdict: LFM3-1.7B is 9.5× cheaper than Mistral Large 4 on a typical 3:1 input/output mix. Mistral Large 4 has the larger context window (1M vs 262K).
| LFM3-1.7B | Mistral Large 4 | |
|---|---|---|
| Input price / 1M | $0.08 | $0.70 |
| Output price / 1M | $0.20 | $2.10 |
| Blended price (3:1) | $0.11 | $1.05 |
| Cached input / 1M | $0.02 | $0.07 |
| Context window | 262K | 1M |
| Max output | 8K | 262K |
| Intelligence index | — | 26.1 |
| Coding index | — | — |
| Providers | — | 2 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-11-06 | 2026-10-06 |
| Retirement | — | — |
Cost calculator
FAQ
Which is cheaper, LFM3-1.7B or Mistral Large 4?
LFM3-1.7B is 9.5× cheaper than Mistral Large 4 on a typical 3:1 input/output mix.
LFM3-1.7B vs Mistral Large 4: which has a bigger context window?
LFM3-1.7B: 262,144 tokens. Mistral Large 4: 1,048,576 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: LFM3-1.7B ≈ $260.00, Mistral Large 4 ≈ $2,450.
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