The 1% rule. Frontier reasoning at 1% of frontier cost.
The 1% rule. Frontier reasoning at 1% of frontier cost. DeepSeek V3.2 (January 2026) shocked the industry with GPT-5-class benchmarks at $0.14/$0.28 per million tokens — roughly 1% of GPT-5 pricing. Open weights. The economics of AI flipped overnight.
Who it's for: high-volume API users, batch processing workloads, anyone whose unit economics broke with GPT-5 pricing
Input is $0.14 per million tokens — about 35x cheaper than GPT-5. Output is $0.28, still 70x cheaper.
One of the few frontier-tier models under a truly permissive license. Use commercially, fine-tune, redistribute.
Mixture-of-experts with 37B active. Massive total knowledge, efficient inference.
Strong on math, code, and logic. Surprises people who assumed "cheap = bad" — it isn't.
DeepSeek ships optimized CUDA kernels. End-to-end latency competitive with much smaller models.
DeepSeek V3.2 isn't the absolute best model at anything — but it's competitive at everything, at a price that makes previous economics look broken. For batch processing, classification, data extraction, and high-volume chatbots, this is the new default. Reserve Claude or GPT-5 for the tasks where the 2-3% quality difference actually matters.
Rating: ★ 4.7/5 · Best for: high-volume API users, batch processing workloads, anyone whose unit economics broke with GPT-5 pricing