Decision support
ERNIE 4.5 0.3B 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 0.3B
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
361M
456B
API pricing · USD per 1M tokens
Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text
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.