Decision support
MobileCLIP2 vs Llama Nemotron Embed VL 1B V2
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
MobileCLIP2
Apple
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
August 25, 2025
December 18, 2025
Context window
—
131K
Native context
—
—
Max output tokens
—
117,964
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
—
1B
API pricing · USD per 1M tokens
Input
—
$0.00
Output
—
$0.00
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text, image
Output modalities
embeddings
embeddings
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
—
Other
Instruction format
—
—
License
apple-amlr
—
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
ai-research
A dash means the field is not reported. Provider-specific performance and pricing may differ.