Decision support
olmOCR 2 vs Llama Nemotron Embed 1B v2
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
olmOCR 2
Ai2
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
October 22, 2025
October 16, 2025
Context window
—
8K
Native context
—
—
Max output tokens
—
2,048
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
8.3B
1B
API pricing · USD per 1M tokens
Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text
Output modalities
text
text
Tool calling
—
—
Reasoning option
—
—
Supported options
—
—
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
nvidia-open-model-license
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.