Efficient 30B MoE language model with 3B active parameters per token.
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 Qwen3 30B A3B 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.
Qwen3 30B A3B has a lower blended cost. Qwen3 30B A3B: $0.13 input / $0.52 output. Muse Spark 1.1: $1.25 input / $4.25 output.
Muse Spark 1.1 has a larger context window: Qwen3 30B A3B supports 131K tokens vs Muse Spark 1.1 at 1M tokens.
Muse Spark 1.1 supports vision/image input, but Qwen3 30B A3B does not.
Key differences: Qwen3 30B A3B is significantly cheaper; only Muse Spark 1.1 supports vision input. 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 Qwen3 30B A3B and Muse Spark 1.1 for free on idapt.app to see which performs better for your specific needs.