Decision support
ERNIE 4.5 VL 28B A3B vs MiniMax M1 80K
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
ERNIE 4.5 VL 28B A3B
Baidu
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
June 30, 2025
June 17, 2025
Context window
—
1M
Native context
—
—
Max output tokens
—
80,000
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
29.4B
456B
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
—
Supported
Reasoning option
—
Supported
Supported options
—
tools, reasoning, temperature
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
Apache-2.0
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.