The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
Meta's latest multimodal reasoning model for long-running agentic, multi-agent, and coding workflows.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.8 2.4T A95B and Muse Spark 1.3 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.
Muse Spark 1.3 has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. Muse Spark 1.3: $1.25 input / $4.25 output.
Muse Spark 1.3 has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs Muse Spark 1.3 at 1M tokens.
Muse Spark 1.3 supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: only Muse Spark 1.3 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 Qwen3.8 2.4T A95B and Muse Spark 1.3 for free on idapt.app to see which performs better for your specific needs.