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DeepSeek ships V4.1 Flash 1017 with 1M context at $0.10/$0.50

DeepSeek released V4.1 Flash 1017, a model with a 1M-token context window priced at $0.10 per million input tokens and $0.50 per million output tokens, according to DeepSeek. DeepSeek claims the Flash snapshot beats its larger V4 Pro on coding, terminal and computer-use work, and Vercel reports shorter outputs than the prior Flash, which lowers the cost of long agent runs through both a low per-token price and fewer output tokens per task.

read2 min views3 publishedOct 18, 2026

DeepSeek claims this Flash snapshot beats its larger V4 Pro on coding, terminal and computer-use work, and Vercel reports shorter outputs than the prior Flash. Long agent runs get cheaper twice: a low per-token price and fewer output tokens per task. Read: DeepSeek claims this Flash snapshot beats its larger V4 Pro on coding, terminal and computer-use work, and Vercel reports shorter outputs than the prior Flash. Long agent runs get cheaper twice: a low per-token price and fewer output tokens per task. Read: Gateway routing already pins each turn to the provider that served the last one so cached prompts get reused. The new view shows cost and cache hit rate per Claude Code, Codex or Cursor session, so a team can see whether a long session actually stayed on one provider. Read: Across 7,700 duplicate-dealt hands and 17 players, cheap reasoning models matched frontier models at a fraction of their cost. On a game with a known math baseline, paying for a bigger or purpose-built model bought no edge over simple arithmetic. Read: Glimpse can zoom into a detail, revisit a stretch of video or track one feature across frames while it reasons, instead of judging from a single pass. That targets chart analysis, visual counting and robot footage labeling, where one glance misses the evidence. Watch: Cheah's sequence starts with splitting API keys per team, because spend nobody can attribute never shrinks. The talk then shows that serving at 2x the speed costs about 3x as much, which makes paying for speed on batch work a direct overspend. Read: The author wrote a rules and data-file spec first, built an acceptance suite from agent questions and traced DOSBox with an agent. The author concludes direct function-by-function porting would likely have been faster, a cost estimate for teams deciding how much spec to write.

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