# Comparing token economics across 42 AI models

DevFeed: [Comparing token economics across 42 AI models](<https://devfeed.tech/articles/comparing-token-economics-across-42-ai-models-5147.md>)

Original publisher: [Read original article](<https://neon.com/blog/comparing-token-economics-across-42-ai-models>)

Author: Carlota Soto

Published: 2026-09-04T12:00:00Z

Content type: comparison

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [cost](<https://devfeed.tech/tags/cost.md>), [llms](<https://devfeed.tech/tags/llms.md>)

## AI overview

A comparison of 42 AI models on a synthetic workload of 100 support tickets, evaluating cost, usable responses, and completion time. It highlights differences in token use, accuracy, speed, and total workload cost.

## Source excerpt

If headcount is often a company's largest cost, tokens will be a close second soon as agents take on more work. Imagine how much $$ a software company will be able to save just by pre-selecting models that are efficient to run, especially in large companies with many engineers using coding agents.