---
id: coding-agent-model-apr26
slug: coding-agent-model-share-apr-2026
title: "Claude model share by coding agent, April 2026"
topic: agentic
period: Apr 2026
updated: 2026-05-16
license: CC BY 4.0
canonical: https://requesty.ai/data/coding-agent-model-share-apr-2026
---

# Claude model share by coding agent, April 2026

> How much of coding agent spend goes to Claude? In April 2026, Claude models power 79% to 100% of spend across all nine coding agents observed through the Requesty gateway. Claude Code is nearly 100% locked to Claude (expected, as Anthropic's own product). Zed is the most model-diverse at 59% Claude / 41% OpenAI. OpenCode has the highest non-Claude adoption among open-source agents at 13% OpenAI.

*Topic: Agentic workloads. Period: Apr 2026. Last updated 2026-05-16.*

## Why it matters

The near-total consolidation to Claude occurred organically across agents whose users freely choose their backend model. This is a revealed preference: when developers can pick any model for coding tasks, they overwhelmingly choose Claude. Gemini's share has declined from 34% (May 2025 via Cline) to under 6% across all agents, despite competitive pricing.

## Questions this answers

- Which AI model do coding agents use most?
- What percentage of coding agent spend goes to Claude?
- Do coding agent users prefer Claude over GPT for coding?
- Which coding agent has the most model diversity?
- Why is Claude so dominant in AI coding tools?

## Key findings

1. Claude Code: 99.5% Claude. Expected, as it is Anthropic's first-party tool.
2. Roo Code: 92% Claude. Open-source, model-agnostic, yet users overwhelmingly choose Claude.
3. OpenCode: 79% Claude, 13% OpenAI. The most experimental open-source user base.
4. Zed: 59% Claude, 41% OpenAI. The most model-diverse agent overall.
5. Gemini share is below 6% across all agents despite competitive pricing.

## Data

| Agent | Claude share (percent) |
| --- | --- |
| Claude Code | 99.50% |
| Forge | 99.50% |
| Kilo Code | 93.70% |
| Roo Code | 91.70% |
| Cline | 89.00% |
| OpenCode | 79.00% |
| Aider | 78.20% |
| Zed | 59.00% |

## Caveats

- Share is measured by spend, not request count. High-cost models appear larger in spend share.
- Cursor and GitHub Copilot have minimal representation because they primarily connect directly to providers.
- Model share reflects user choice, not agent defaults. Most agents allow users to configure any model.

## Cite as

**APA.** Requesty (2026). Claude model share by coding agent, April 2026. Requesty Data. https://requesty.ai/data/coding-agent-model-share-apr-2026

```bibtex
@misc{requesty_coding_agent_model_share_apr_2026,
  author       = {{Requesty}},
  title        = {Claude model share by coding agent, April 2026},
  year         = {2026},
  howpublished = {\url{https://requesty.ai/data/coding-agent-model-share-apr-2026}},
  note         = {Requesty Data}
}
```

---

Downloads: [JSON](https://requesty.ai/data/coding-agent-model-share-apr-2026/data.json) · [CSV](https://requesty.ai/data/coding-agent-model-share-apr-2026/data.csv) · [Markdown](https://requesty.ai/data/coding-agent-model-share-apr-2026/data.md)