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LiquidAI

LFM2.5-2.6B

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing.

At a glance

Input / 1M
$0.35
Output / 1M
$0.50
Context
128K
Max output
8K
Intelligence
8.4
Released
Aug 2026
Text inputReasoningTool callingFree tier

Pricing

LFM2.5-2.6B API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.35
Output tokensPer 1M tokens$0.50
Cached input (read)Per 1M tokens$0.04
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$0.95

per 1,000 requests

Coding task

30K in, 4K out

$12.50

per 1,000 requests

Long document summary

150K in, 2K out

$53.50

per 1,000 requests

Benchmarks

LFM2.5-2.6B benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

8.4

Coding index

7.7

Agentic index

Not available

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
128K tokens
Max output
8K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
August 11, 2026
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does LFM2.5-2.6B cost?

LFM2.5-2.6B costs $0.35 per 1M input tokens and $0.50 per 1M output tokens through the API. A typical chat message costs about $0.95 per 1,000 messages.

What is the context window of LFM2.5-2.6B?

LFM2.5-2.6B accepts up to 128K tokens of input and can write up to 8K tokens in a single response.

What is the best alternative to LFM2.5-2.6B?

gpt-oss-120b from OpenAI is a strong alternative. It offers: higher intelligence score, larger 131k context.

Can I use LFM2.5-2.6B alongside other models?

Yes. Shortcut Chat sends one prompt to LFM2.5-2.6B and any other models you pick at the same time, so you can compare answers side by side.

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Try LFM2.5-2.6B next to every other model.

Use LFM2.5-2.6B alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.