DeepSeek V4-Flash at $0.14/1M tokens is 35x cheaper than GPT-5.5 and leads every public model on coding benchmarks (93.5 LiveCodeBench, April 2026
[Original Reddit post](https://www.reddit.com/r/ArtificialInteligence/comments/1tgae78/deepseek_v4flash_at_0141m_tokens_is_35x_cheaper/)
For students and solo devs doing text work — flashcards, essays, code, emails — it wins on price by a margin that’s almost embarrassing. That said, if you’re running autonomous terminal pipelines or DevOps agents, GPT-5.5 is a different tier entirely — 91.2% on Terminal-Bench Hard vs DeepSeek’s 61%, and 85% on ARC-AGI-2 which is specifically designed to resist memorization. NotebookLM is solid for document Q&A but it’s locked to your uploads and can’t run custom workflows. Bottom line: DeepSeek V4-Flash for everyday tasks, GPT-5.5 only if you’re building serious agentic pipelines and the price is justified — and no, DeepSeek R2 doesn’t exist yet, the latest is V4-Pro and V4-Flash, released April 24, 2026.
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/u/Ok-Drama-6800
Originally posted by u/Ok-Drama-6800 on r/ArtificialInteligence
For students and solo devs doing text work — flashcards, essays, code, emails — it wins on price by a margin that’s almost embarrassing. That said, if you’re running autonomous terminal pipelines or DevOps agents, GPT-5.5 is a different tier entirely — 91.2% on Terminal-Bench Hard vs DeepSeek’s 61%, and 85% on ARC-AGI-2 which is specifically designed to resist memorization. NotebookLM is solid for document Q&A but it’s locked to your uploads and can’t run custom workflows. Bottom line: DeepSeek V4-Flash for everyday tasks, GPT-5.5 only if you’re building serious agentic pipelines and the price is justified — and no, DeepSeek R2 doesn’t exist yet, the latest is V4-Pro and V4-Flash, released April 24, 2026.
submitted by
/u/Ok-Drama-6800
Originally posted by u/Ok-Drama-6800 on r/ArtificialInteligence