Baidu's large vision-language MoE model — 424B total, 47B active.
Meta's multimodal reasoning model built for agentic work and real-world coding.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both ERNIE 4.5 VL 424B and Muse Spark 1.1 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
ERNIE 4.5 VL 424B has a lower blended cost. ERNIE 4.5 VL 424B: $0.42 input / $1.25 output. Muse Spark 1.1: $1.25 input / $4.25 output.
Muse Spark 1.1 has a larger context window: ERNIE 4.5 VL 424B supports 123K tokens vs Muse Spark 1.1 at 1M tokens.
Yes, both ERNIE 4.5 VL 424B and Muse Spark 1.1 support vision/image input.
Key differences: ERNIE 4.5 VL 424B is significantly cheaper. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both ERNIE 4.5 VL 424B and Muse Spark 1.1 for free on idapt.app to see which performs better for your specific needs.