AI costs in 2026: how token prices collapsed
Cost-per-token comparison between 2023 and 2026, what's driving it, and what it means for high-volume use cases.
March 25, 2026 · Lixto Labs Team · 1 min read
The price drop was real
Cold numbers: in 2023, one million tokens of GPT-4 cost about 30 USD input and 60 USD output. In early 2026, comparable (or better) models cost less than 2 USD per million tokens.
That's a 15-30x reduction in less than three years. A use case that was unfeasible by cost in 2023 is trivial today.
What's driving this?
- Provider competition: OpenAI, Anthropic, Google, xAI, Mistral, DeepSeek, and Chinese players compete aggressively.
- Quality small models: SLMs match or beat GPT-4 (2023) at a fraction of inference cost.
- Cheaper specialized hardware: Groq, Cerebras, new TPUs.
- Software optimizations: speculative decoding, shared KV cache, dynamic batching.
What this changes for businesses
Cases that didn't pencil out before now do:
- Processing every customer interaction: classify tickets, tag conversations, summarize each call. Was 10 USD/customer/month, now 0.30 USD.
- Exhaustive document analysis: review every contract, invoice, email. Was prohibitive, now standard.
- 1-to-1 personalization at scale: unique emails per customer, dynamic content per user.
Watch out for "free"
Lower cost per token doesn't mean your monthly bill is low. People (and agents) consume way more. We saw clients whose monthly bill grew 5x while cost per token dropped 10x: each user now consumes 50x more tokens.
As always: measure cost per unit of value (per lead, per ticket resolved), not per token. It's the only metric that matters.