From the experiment

Do coding agents recommend Vercel AI Gateway?

Vercel AI Gateway was chosen in 16% of 140 judged AI gateways sessions, ranking fourth. Measured with Claude Code, Codex and Cursor.

Published September 3, 2026 Read as Markdown

Vercel AI Gateway was chosen in 16% of 140 judged AI gateways sessions, ranking fourth. It was also raised as a candidate in 51 further sessions without being chosen.

This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in AI gateways inside a realistic codebase. Not what a chat assistant says about Vercel AI Gateway. What an agent actually installed.

The numbers

CategoryAI gateways
Sessions in the category140
Sessions where Vercel AI Gateway was chosen22
Install share16%
Rank in category4 of 8
Codebases it won in3
Raised as a candidate, not chosen51
Chosen when considered30%
Sitevercel.com

By agent

The three agents land within 10 points of each other on Vercel AI Gateway, which is closer than most products in this experiment manage.

AgentSessionsChose Vercel AI GatewayShare
Claude Code45511%
Codex481021%
Cursor47715%

By who was asking

Vercel AI Gateway does much better with one kind of buyer than another. It won 42% of sessions asked as junior developer and 0% of those asked as enterprise team.

Who is askingSessionsChose Vercel AI GatewayShare
Vibe coder16531%
Junior developer331442%
Senior engineer5635%
Enterprise team3500%

What Vercel AI Gateway was up against

The full ranking in AI gateways, from the same sessions:

#ProductRuns wonShare
1Portkey3021%
2Cloudflare AI Gateway3021%
3LiteLLM2518%
4Vercel AI Gateway (this page)2216%
5OpenRouter1511%
6Built in-house (no product adopted)129%
7Amazon Bedrock32%
8Helicone11%

What this means

A solid second or third position in a category means the agent is genuinely choosing rather than reaching automatically. That is a winnable position, because the inputs it uses can be changed.

The fastest gains are usually in the sessions that were nearly won: read them, find the step where the agent moved on, and fix that step.

Where these numbers come from

The 140 sessions in AI gateways are part of a published set of 5,292, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every AI gateways run can be replayed on the board.

If you work on Vercel AI Gateway: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.

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Common questions

Do coding agents recommend Vercel AI Gateway?

Yes. Vercel AI Gateway was chosen in 22 of the 140 judged sessions in AI gateways, a 16% install share, ranking fourth in its category.

Does Claude Code recommend Vercel AI Gateway?

In 5 of the 45 sessions in AI gateways run with Claude Code, which is 11%.

Do different coding agents treat Vercel AI Gateway differently?

Yes, and by a wide margin. Codex chose it in 21% of its runs and Claude Code in 11%.

How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 51 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.

How often is Vercel AI Gateway considered but not chosen?

It was raised as a candidate in 51 sessions without being chosen, and chosen in 22. That is a 30% conversion from considered to chosen.

Where this comes from

Armature ran 5,292 judged sessions with Claude Code, Codex and Cursor inside 51 realistic codebases, and published every run. The numbers on this page come from that work.

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