// liquid
LFM2.5-2.6B
liquid/lfm-2.5-2.6b
LFM2.5-2.6B costs $0.350 per 1M input tokens and $0.500 per 1M output tokens with a 128K-token context window.
A reasoning, tool-calling model from liquid, released Aug 11, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.350
- Output / 1M
- $0.500
- Context
- 128K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.350 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.500 |
| Blended price 3:1 input:output — #122 cheapest of 354 listed models | $0.387 |
| Cached input read Blank means not priced separately — not free | $0.040 |
| Cache write | — |
| Context window | 128,000 tokens |
| Max output | 8,192 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Aug 11, 2026 |
Also listed as liquid/lfm-2.5-2.6b:free (Free blended)— the same model at a different price or rate limit.
What LFM2.5-2.6B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $101.68/mo |
| RAG assistant 8K in / 600 out × 100K requests | $186.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $146.40/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $372.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $770.00/mo |
LFM2.5-2.6B FAQ
How much does LFM2.5-2.6B cost?
LFM2.5-2.6B lists at $0.350 per 1M input tokens and $0.500 per 1M output tokens, with cached input reads at $0.040 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $186.00 at list price.
What is the context window of LFM2.5-2.6B?
LFM2.5-2.6B accepts up to 128,000 tokens of context and can return up to 8,192 output tokens per response.
Does LFM2.5-2.6B support tool calling?
Yes — LFM2.5-2.6B supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does LFM2.5-2.6B score on benchmarks?
LiveBench has not published a run for LFM2.5-2.6B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for LFM2.5-2.6B?
On OpenRouter the model ID is "liquid/lfm-2.5-2.6b". It was listed on Aug 11, 2026.
More from liquid
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release —. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.