Liquid AI's compact 2.6B reasoning model for agent workflows, data extraction, RAG, and long-context processing. It supports tool calling and structured output, but Liquid advises against using it for agentic coding. Warning: prompts and responses may be logged and used for model training or service improvement; do not send sensitive data.
Added Aug 12, 2026
Model weightsContext Window
128.0K
Max Output
32.8K
Avg output tokens (7d)
2.2K tokens
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.20/1M
Cache Read (Auto)
$0.050/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
5.3
Coding Index
7.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
55.8%
Better than 30% of models compared
HLE
Humanity's Last Exam
6.2%
Better than 40% of models compared
AA-LCR
Long context reasoning evaluation
5.7%
Better than 13% of models compared
Coding
SciCode
Python programming for scientific computing
14.4%
Better than 0% of models compared
Last updated Sep 7, 2026
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