Liquid model
LFM2.5-2.6B API cost calculator
LFM2.5-2.6B costs $0.35 per 1M input tokens and $0.50 per 1M output tokens on the Liquid API, with a 128K-token context window. A typical request (2K input, 500 output tokens) costs $0.0009 — about $28.50/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on LFM2.5-2.6B
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0003 | $0.33 |
| RAG query with context | 4,000 / 500 | $0.0016 | $1.65 |
| Document summarization | 20,000 / 1,000 | $0.0075 | $7.50 |
| Agent coding session | 100,000 / 5,000 | $0.04 | $37.50 |
LFM2.5-2.6B vs other Liquid models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| LFM2.5-2.6B | $0.35 | $0.50 | 128K |
| LFM2.5-24B-A2B | $0.05 | $0.70 | 128K |
Frequently asked questions
How much does LFM2.5-2.6B cost per 1M tokens?
According to current pricing data, LFM2.5-2.6B costs $0.35 per 1M input tokens and $0.50 per 1M output tokens. Processing 1M tokens each way costs $0.85.
What does a typical API request to LFM2.5-2.6B cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0009. At 1,000 requests per day that is $0.95 daily, or about $28.50 per month.
What is LFM2.5-2.6B's context window?
LFM2.5-2.6B supports a 128K-token context window (128,000 tokens).
Does LFM2.5-2.6B support prompt caching?
Yes. Cached input tokens cost $0.04 per 1M — a 89% discount versus the standard input rate, which matters for agents and chat apps that resend the same system prompt.
What is a cheaper alternative to LFM2.5-2.6B?
gpt-oss-20b from OpenAI is currently the cheapest comparable option at $0.02 per 1M input tokens versus $0.35 for LFM2.5-2.6B — roughly 19x cheaper on input.
Compare all current prices on the live model pricing dashboard, see LFM2.5-2.6B vs gpt-oss-20b pricing, or run LFM2.5-2.6B head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.