DeepSeek V4 Is 7–9x Cheaper Than GPT-5.5. Here’s Why That Matters.

DeepSeek V4 Pro output pricing: $3.48/M tokens GPT-5.5 output: $30/M tokens Claude Opus 4.7 output: $25/M tokens

That’s a 7–9x price gap on the same class of frontier-ish text tasks.

What you get for $3.48:

• 1.6T parameter MoE (49B active) — largest open-weight model ever released
• Coding benchmarks comparable to GPT-5.4 (one generation behind)
• Full open weights → fine-tune, self-host, audit

The trade-off: text-only, no multimodal, slightly below GPT-5.4/Gemini 3.1 Pro on raw benchmarks.

Bottom line for engineering teams: If your workload is high-volume text (RAG, summarization, classification, code generation) and you don’t need multimodal, the unit economics just shifted dramatically.

#AI #DeepSeek #OpenSource #LLM #CostOptimization #Engineering #ArtificialIntelligence