Decision support
ERNIE 4.5 VL 28B A3B Thinking vs Llama Nemotron Embed 1B v2
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
November 11, 2025
October 16, 2025
Context window
—
8K
Native context
—
—
Max output tokens
—
2,048
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
29.7B
1B
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
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—
Reasoning option
—
—
Supported options
—
—
Capabilities
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—
Architecture and availability
Architecture
—
—
Model families
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—
Tokenizer
—
—
Instruction format
—
—
License
Apache 2.0
nvidia-open-model-license
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.