Decision support

d1.1 vs Drex v1.5

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

d1.1

Liquid AI

Sources:OpenRouter

Benchmark results

No benchmark results have been matched to these models yet.

Model specifications

Release date
October 27, 2026
September 28, 2026
Context window
66K
131K
Native context
—
—
Max output tokens
58,982
117,964
Knowledge cutoff
—
—
Open weights
Unknown
Closed
Parameter count
—
9B

API pricing · USD per 1M tokens

Input
$0.02
$0.04
Output
$0.00
$0.00
Cached input
$0.02
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image
text
Output modalities
decisions
decisions
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
Nace.AI Open RAIL-M
Providers
1
1
Provider endpoints
1
1
Ollama variants
0
0
Metadata source
openrouter
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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