Decision support
Embed 5 Pro vs voyage-code-4
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
November 3, 2026
August 13, 2026
Context window
128K
32K
Native context
—
—
Max output tokens
115,200
28,800
Knowledge cutoff
—
—
Open weights
Unknown
Unknown
Parameter count
—
—
API pricing · USD per 1M tokens
Input
$0.12
$0.12
Output
$0.00
$0.00
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text
Output modalities
embeddings
embeddings
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Cohere
Other
Instruction format
—
—
License
—
—
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.