---
title: "Why the rise of open source AI isn’t hurting Anthropic … yet"
slug: "why-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet"
date: 2026-07-07
category: tech-pub
tags: [anthropic, open-source]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/why-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet
---

# Why the rise of open source AI isn’t hurting Anthropic … yet

**Published**: 2026-07-07 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.

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## Summary

- Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.
- Vercel data supports that split: DeepSeek now handles just over a third of tokens on its gateway, while Z.ai’s GLM-5.2 ranks fourth. By spend, Anthropic still accounts for more than half.
- OpenRouter shows the same pattern: DeepSeek V4 Flash processes 5.3 trillion tokens weekly, versus just over 2 trillion for Opus 4.8. But Opus costs about 23 times more per million tokens.
- The caveat: Zhang’s own evidence is thin, and Nvidia Nemotron could shake up usage rankings. For now, Anthropic looks protected by premium pricing, not raw token volume.

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## Why it matters

Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.

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## Key Points

- Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.
- Vercel data supports that split: DeepSeek now handles just over a third of tokens on its gateway, while Z.ai’s GLM-5.2 ranks fourth. By spend, Anthropic still accounts for more than half.
- OpenRouter shows the same pattern: DeepSeek V4 Flash processes 5.3 trillion tokens weekly, versus just over 2 trillion for Opus 4.8. But Opus costs about 23 times more per million tokens.
- The caveat: Zhang’s own evidence is thin, and Nvidia Nemotron could shake up usage rankings. For now, Anthropic looks protected by premium pricing, not raw token volume.

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## Nauti's Take

Anthropic is not losing yet because customers pay for risk reduction at the start of a workflow, not just for tokens. In that phase, the best answer matters more than the cheapest throughput. Open source then eats the routine work, and that is dangerous enough: if companies move experiments into cheap production faster, the premium share per use case shrinks. Anthropic has to keep owning new problem categories, or premium pricing turns into an expensive first touch.

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## FAQ

**Q:** What is Why the rise of open source AI isn’t hurting Anthropic … yet about?

**A:** - Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.

**Q:** Why does it matter?

**A:** Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.

**Q:** What are the key takeaways?

**A:** Decagon CEO Jesse Zhang argues that mature enterprise use cases are moving from expensive frontier models to smaller open source models, while new use cases still start on top-tier models.. Vercel data supports that split: DeepSeek now handles just over a third of tokens on its gateway, while Z.ai’s GLM-5.2 ranks fourth. By spend, Anthropic still accounts for more than half.. OpenRouter shows the same pattern: DeepSeek V4 Flash processes 5.3 trillion tokens weekly, versus just over 2 trillion for Opus 4.8. But Opus costs about 23 times more per million tokens.

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## Related Topics

- [anthropic](https://news.ainauten.com/en/tag/anthropic)
- [open-source](https://news.ainauten.com/en/tag/open-source)

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## Sources

- [Why the rise of open source AI isn’t hurting Anthropic … yet](https://techcrunch.com/2026/07/07/why-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet/) - TechCrunch AI

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-07-08*