DeepSeek Super-Agent Is 1.9x Faster but Burns 3.8x Tokens
Reviews of DeepSeek's super-agent tests show it completes tasks 1.9x faster but consumes 3.8x more tokens (23.2M vs about 6M for a single session), with delegation prompts noted as key and its default observe mode worth learning from.
2026-11-03 ~ 2026-11-03 · 4 related posts
- Episode 1: DeepSeek Publishes Super-agent Design Essay and Open-Sources Prototype, Nearing 2k Stars in Two Days(2026-10-31, 19 posts)
- Episode 2: DeepSeek Quietly Releases Coding Agent Prototype Challenging Claude Code(2026-11-01, 2 posts)
- Episode 3: Human attention is the next bottleneck for AI agents, blogger argues(2026-11-01, 2 posts)
- Episode 4: DeepSeek Open-Sources dsh-superagent Prototype: Human Attention, Not Models, Is the Bottleneck(2026-11-02, 14 posts)
- Episode 5: DeepSeek Super-Agent Is 1.9x Faster but Burns 3.8x Tokens(2026-11-03, 4 posts)
- DeepSeek's super-agent is 1.9x faster — but burns 3.8x the tokens — AIFlow_ML · 2026-11-03
- DeepSeek super-agent runs 1.9x faster but burns 3.8x tokens, delegation prompt makes the difference — AIFlow_ML · 2026-11-03
- DeepSeek's super-agent is 1.9x faster but burns 3.8x the tokens — AIFlow_ML · 2026-11-03
- DeepSeek's super-agent is 1.9x faster but burns 3.8x tokens—and defaults to observe mode — AIFlow_ML · 2026-11-03