Intelligence
N/A
44
General reasoning and benchmark headroom.
SituationalBaidu: ERNIE 4.5 VL 28B A3B is a budget multimodal generalist from baidu with a heavy runtime profile, compact context posture, and the clearest fit around multimodal / reasoning.
Benchmark blend
Dev workflow signal
Compact
Budget tier
Baidu: ERNIE 4.5 VL 28B A3B currently reads as a budget multimodal option with compact context and a heavy runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
SituationalLatency data is partial.
SituationalHow much prompt and task state can stay in view.
Limited$0.56 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
A powerful multimodal Mixture-of-Experts chat model featuring 28B total parameters with 3B activated per token, delivering exceptional text and vision understanding through its innovative heterogeneous MoE structure with modality-isolated routing. Built with scaling-efficient infrastructure for high-throughput training and inference, the model leverages advanced post-training techniques including SFT, DPO, and UPO for optimized performance, while supporting an impressive 131K context length and RLVR alignment for superior cross-modal reasoning and generation capabilities.
baidu multimodal profile
Multimodal / Reasoning with compact context and heavy runtime.
Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.
Vision-capable routing opens up multimodal review and extraction workflows.
Budget-friendly input pricing is a strength, but raw capability may vary by workload.
Latency profile is better for deliberate runs than rapid back-and-forth chat.
Context window is more comfortable for focused tasks than extremely long sessions.
Image-grounded review, multimodal extraction, and UI audit workflows.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.