OpenAI releases new GPT-3.5-turbo and GPT-4 versions that include a new “function calling” feature, and reduces the pricing of the original GPT-3.5-turbo by 25%
As the competition in the generative AI space grows fiercer, OpenAI is upgrading its text-generating models while reducing pricing.
TechCrunchKyle Wiggers
Context & Ripple Effects
This paired capability-and-price move arrived as OpenAI was broadening developer access to GPT-4 through its general API availability. It matters because it makes the API proposition both more usable in applications and cheaper to consume.
The subsequent arc reinforces the pattern: OpenAI added paid GPT-3.5 Turbo fine-tuning, later reduced GPT-3.5 Turbo prices again, and ultimately positioned a smaller model as its replacement.
First-order effects
Developers using OpenAI’s updated GPT-3.5 Turbo and GPT-4 can build workflows around the new function-calling capability, while existing GPT-3.5 Turbo users receive a 25% price reduction.
OpenAI makes its entry-level text API more competitive on both application functionality and operating cost.
Second-order effects
Application builders can test more API-backed features or lower the cost of existing ones, increasing pressure on rival model providers to match both tooling and pricing.
Function calling shifts more developer attention from standalone text generation toward models embedded in product workflows; OpenAI later extended that developer customization path with GPT-3.5 Turbo fine-tuning.
Third-order effects
If repeated price cuts accompany new API capabilities, model access becomes increasingly differentiated by cost per useful task and integration reliability rather than raw model availability alone.
The later replacement of GPT-3.5 Turbo by a smaller GPT-4o variant suggests a product lifecycle in which older API tiers are displaced by cheaper, more capable successors rather than remaining stable long-term offerings.
The trend: Generative-AI providers are turning model APIs into a continually repriced platform layer, coupling lower inference costs with features that make models easier to operationalize in software.
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