Efficiency-optimized DeepSeek V4 at 284B total / 13B active for fast, high-throughput inference.
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 DeepSeek V4 Flash 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.
DeepSeek V4 Flash has a lower blended cost. DeepSeek V4 Flash: $0.09 input / $0.19 output. Muse Spark 1.1: $1.25 input / $4.25 output.
Muse Spark 1.1 has a larger context window: DeepSeek V4 Flash supports 1M tokens vs Muse Spark 1.1 at 1M tokens.
Muse Spark 1.1 supports vision/image input, but DeepSeek V4 Flash does not.
Key differences: DeepSeek V4 Flash 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 DeepSeek V4 Flash and Muse Spark 1.1 for free on idapt.app to see which performs better for your specific needs.