LFM2.5-24B-A2B Pricing
FastLiquid AI · 128K tokens context
LFM2.5-24B-A2B from Liquid AI costs $0.050 per 1 million input tokens and $0.700 per 1 million output tokens as of October 2026 (live OpenRouter data). The model supports a 128,000-token context window (approximately 96,000 words) with a 8K-token maximum output. A typical 1,000-token request costs $0.0000 in input charges; a 10,000-token request costs $0.0005.
| Input price | $0.050 / 1M tokens |
|---|---|
| Output price | $0.700 / 1M tokens |
| Output / input ratio | 14.0× |
| Context window | 128,000 tokens (~96,000 words) |
| Maximum output | 8,192 tokens |
| Cost per 1K tokens (input) | $0.0000 |
| Tier | Fast |
| Last verified |
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools.
Input Price
$0.050
per 1 million tokens
Output Price
$0.700
per 1 million tokens
Context Window
128K tokens
max 8K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.0000666 | $0.00028 |
| 10-page document (2,500 words) | 3,333 | $0.000167 | $0.0007 |
| 1,000 lines of code | 5,000 | $0.00025 | $0.00105 |
| 100K token document | 100,000 | $0.005 | $0.021 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.050/1M input tokens
- ✓Low latency for high-throughput workloads
- ✓Cost-effective at scale
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate LFM2.5-24B-A2B Costs
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