Intelligence
N/A
N/A
General reasoning and benchmark headroom.
UnavailableBaidu: ERNIE 4.5 VL 424B A47B is a budget-priced multimodal generalist from Baidu with partial runtime data, standard context posture, and the clearest fit around multimodal / long-context research.
Benchmark blend
Dev workflow signal
Standard
Budget tier
Baidu: ERNIE 4.5 VL 424B A47B currently reads as a budget multimodal option with standard context and a partially published 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.
UnavailableLatency data is partial.
UnavailableHow much prompt and task state can stay in view.
Competitive$1.25 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...
Baidu multimodal profile
Multimodal / Long-context research with standard context and partially published 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 data is incomplete, so interactive responsiveness is harder to rank confidently.
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.