Decision support
Ornith 1.0 31B vs Macaron V1 Tall
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
June 25, 2026
July 21, 2026
Context window
262K
262K
Native context
—
—
Max output tokens
—
32,768
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
31B
36B
API pricing · USD per 1M tokens
Input
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—
Output
—
—
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text, image
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
tools, reasoning, temperature
tools, reasoning, temperature
Capabilities
—
—
Architecture and availability
Architecture
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—
Model families
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—
Tokenizer
—
—
Instruction format
—
—
License
MIT
MIT
Providers
0
0
Provider endpoints
0
0
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.