---
title: "The Bifurcation in the AI Market"
description: "OpenRouter data reveals a market splitting in two : enterprises pay for precision in coding workflows while consumers flock to free alternatives for roleplay. Analysis of pricing power, use cases \u0026 retention across AI providers."
categories: ["AI","market analysis"]
keywords: ["AI market bifurcation","OpenRouter State of AI","open source vs proprietary AI","Claude retention","DeepSeek roleplay","AI pricing power","developer AI workflows","AI model churn"]
date: 2025-12-16
lastmod: 2026-07-27
canonical_url: https://www.tomtunguz.com/2025-12-16-open-router-insights/
author: "Tomasz Tunguz"
---


Despite open-source AI models being 10-100x cheaper, proprietary providers haven't lost pricing power. [OpenRouter's data](https://openrouter.ai/state-of-ai) reveals a market splitting in two.

Over the last year, open-source models' market share has remained stable around 22-25%, briefly spiking to 35% during the explosive growth of Chinese models in mid-2025 before settling back down.

{{< email_image src="emtt3yi4bwobkgdnrme5" alt="Open Source Market Share Steady Despite Massive Growth" width="540" height="304" >}}

> The weak price elasticity indicates that even drastic cost differences do not fully shift demand; proprietary providers retain pricing power for mission-critical applications, while open ecosystems absorb volume from cost-sensitive users.

Second, the distribution of open-source models has shifted dramatically. DeepSeek held nearly 80% of OSS market share in early 2025, but has dropped to 40% as Qwen & other Chinese models have gained ground.

{{< email_image src="k4howcuva11fzbnm6adl" alt="DeepSeek Share Peaks at 80% & Now at 40%" width="540" height="304" >}}

Third, coding has found product-market fit. Programming accounts for 60% of Anthropic's usage & 45% of xAI's, both heavily skewed toward developer workflows.

The table below shows the top 2 use cases by provider (November 2025). Technology refers to AI assistant tasks like research & summarization.

| Provider | #1 Use Case | % | #2 Use Case | % |
|----------|-------------|----:|-------------|----:|
| Anthropic | Programming | 60% | Roleplay | 10% |
| xAI | Programming | 45% | Technology | 15% |
| Qwen | Programming | 27% | Roleplay | 18% |
| Google | Roleplay | 25% | Programming | 20% |
| OpenAI | Programming | 22% | Science | 20% |
| DeepSeek | Roleplay | 80% | Programming | 5% |

Role-playing is the fast-growing consumer use case. DeepSeek dominates here, with 80% of its volume in roleplay. Cost sensitivity drives this segment, so consumers won't pay enterprise prices for entertainment.

OpenAI is the only provider with a significant fraction in science. ChatGPT's early adoption by academics & researchers likely created lasting habits, giving OpenAI an edge in scientific workflows.

Once a model achieves product-market fit, retention improves significantly. But stickiness is rare, churn is the norm, most models lose 60-70% of users within the first month.

The chart below contrasts retention across leading models. Claude 4 Sonnet & Gemini 2.5 Flash show stronger Month 1 retention (40-50%) compared to GPT-4o Mini & DeepSeek R1 (25-35%), suggesting deeper utility for certain workflows.

{{< email_image src="qi2goq0kx3krfnvheijn" alt="Average Retention Across Models Similar" width="540" height="304" >}}

The answer to the pricing puzzle : enterprises pay for precision, consumers pay nothing for play. Proprietary providers don't need to compete on price, they've won the segment that pays.

---

**Data Sources:**
1. **Model Usage & Share:** [OpenRouter State of AI Report (2025)](https://openrouter.ai/state-of-ai). Data points reflect usage as of November 2025.