Decision support
olmOCR vs Phi-4-multimodal-instruct
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
olmOCR
Ai2
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
February 25, 2025
February 26, 2025
Context window
—
131K
Native context
—
—
Max output tokens
—
131,072
Knowledge cutoff
—
2024-06
Open weights
Open weights
Open weights
Parameter count
8.3B
5.6B
API pricing · USD per 1M tokens
Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text, image, audio
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
—
—
Supported options
—
tools, temperature
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
MIT
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.