Capabilities
7-day heat trend
−1.3%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 99% of tracked models
- Efficiency rank: #564 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About lfm-2.5-1.2b-instruct:free
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime s...
lfm-2.5-1.2b-instruct:free is a Text model from Liquid (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 33K-token context window, ~173 tokens/sec throughput and 99.7% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare lfm-2.5-1.2b-instruct:free
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Frequently asked questions
How much does lfm-2.5-1.2b-instruct:free cost per 1M tokens?+
lfm-2.5-1.2b-instruct:free is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is lfm-2.5-1.2b-instruct:free best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is lfm-2.5-1.2b-instruct:free?+
lfm-2.5-1.2b-instruct:free delivers about 173 tokens/sec with 99.7% tracked availability, suitable for latency-sensitive, real-time applications.
Is lfm-2.5-1.2b-instruct:free cheaper than other AI models?+
Within the HotON.ai tracked set, lfm-2.5-1.2b-instruct:free is cheaper than 43% of models on input price and ranks #564 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.