cost-reduction

DeepSeek has permanently reduced pricing for its V4 Pro model by 75%, bringing input token costs down to $0.003625 per million tokens from $0.0145. The move makes permanent a promotional discount that was set to expire May 31, 2026.

GitHub has optimized token usage in its production agentic workflows that run on every pull request. The company instrumented its own Copilot workflows to identify inefficiencies and built agents to address them, aiming to reduce accumulated API costs.

Multiverse Computing, a Spanish startup, has launched a self-serve API portal giving developers direct access to compressed versions of models from OpenAI, Meta, DeepSeek, and Mistral AI. The move targets enterprises seeking to reduce cloud infrastructure dependence and lower compute costs through edge deployment. The company claims its HyperNova 60B 2602 model delivers faster responses at lower cost than the original OpenAI model it was derived from.

Meta has unveiled four generations of custom-designed AI chips focused on inference workloads, aiming to reduce inference costs across its platforms serving billions of users. The move represents a significant step toward reducing Meta's dependence on GPU manufacturers like Nvidia and AMD.