DeepSeek's cost-efficient V4.1 tier and the first model built on the Causal Encoder-Decoder (CED) architecture: a 552B MoE activating 8B parameters on input and 16B on output.
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 DeepSeek V4.1 Flash 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.
DeepSeek V4.1 Flash has a lower blended cost. DeepSeek V4.1 Flash: $0.03 input / $0.50 output. Muse Spark 1.3: $1.25 input / $4.25 output.
DeepSeek V4.1 Flash has a larger context window: DeepSeek V4.1 Flash supports 1M tokens vs Muse Spark 1.3 at 1M tokens.
Yes, both DeepSeek V4.1 Flash and Muse Spark 1.3 support vision/image input.
Key differences: DeepSeek V4.1 Flash 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 DeepSeek V4.1 Flash and Muse Spark 1.3 for free on idapt.app to see which performs better for your specific needs.