solid guide. one thing worth adding to the verify list though: tok/s is the metric everyone quotes and it is the one that misleads most.
bridgemind clocked it at 344 tok/s on a lava lamp render with a 99.7% cache hit, and it still finished slower than fable 5.1 and gpt-6 astra. fast generation, slow completion, because it burns more tokens getting there.
so when you bench it against your own workload, measure wall clock per task, not throughput. the design arena numbers show the same pattern from another angle: it holds around 98% of astra's score overall but drops to #10 on dashboards and admin panels while sitting #4 on landing pages. averages hide the vertical you actually care about.
per category breakdown if useful: automatio.ai/read/ai/deepseek-v4-1-flash-matches-…
solid guide. one thing worth adding to the verify list though: tok/s is the metric everyone quotes and it is the one that misleads most.
bridgemind clocked it at 344 tok/s on a lava lamp render with a 99.7% cache hit, and it still finished slower than fable 5.1 and gpt-6 astra. fast generation, slow completion, because it burns more tokens getting there.
so when you bench it against your own workload, measure wall clock per task, not throughput. the design arena numbers show the same pattern from another angle: it holds around 98% of astra's score overall but drops to #10 on dashboards and admin panels while sitting #4 on landing pages. averages hide the vertical you actually care about.
per category breakdown if useful: automatio.ai/read/ai/deepseek-v4-1-flash-matches-…