Decision support
Dots3-Note Preview vs Macaron V1 Venti
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
August 14, 2026
July 21, 2026
Context window
512K
1M
Native context
—
—
Max output tokens
460,800
131,072
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
288B
753B
API pricing · USD per 1M tokens
Input
$0.00
—
Output
$0.00
—
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
include_reasoning, max_tokens, reasoning, response_format, structured_outputs, temperature, tool_choice, tools, top_p
tools, reasoning, temperature
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Other
—
Instruction format
—
—
License
Apache-2.0
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.