Decision support
voyage-4-lite vs Embed V1 4B
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
July 27, 2026
February 26, 2026
Context window
32K
32K
Native context
—
—
Max output tokens
28,800
28,800
Knowledge cutoff
—
—
Open weights
Unknown
Open weights
Parameter count
—
4B
API pricing · USD per 1M tokens
Input
$0.02
$0.03
Output
$0.00
$0.00
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text
text
Output modalities
embeddings
embeddings
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
MIT
Providers
1
1
Provider endpoints
1
1
Ollama variants
0
0
Metadata source
ai-research
ai-research
A dash means the field is not reported. Provider-specific performance and pricing may differ.