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NEWPrivate benchmarks from your merged PRs

Which coding agent works best on your codebase?

Public leaderboards have never seen your code. Fullbeam builds a private benchmark from pull requests your team already merged, and grades it with your own tests. You find out what gets better, what breaks, and what it costs.

  • Works withClaude Code · Codex · OpenCode
  • Isolated sandboxes
  • Your own model provider keys
  • No eval infrastructure to build

Example benchmark · Backend maintenance

Last on the public leaderboard. First on your code.

GPT-6 Luna ranks #14 of 14 on a public agentic coding benchmark. On this team’s 18 merged PRs, with 3 attempts each, it passed more tasks than anything else. It was also the cheapest per accepted task of the top four.

Illustrative numbers
Public agentic coding benchmark scores compared with pass rates on a team’s own merged pull requests
Agent · modelPublic scorePass rate on your PRsRank shift
Codex ·GPT-6 LunaNew setup · backend-tools@1841 #1478%rank 1 on your PRsup 13 places
Claude Code ·Opus 5.5Current setup · backend-tools@1766 #172%rank 2 on your PRsdown 1 place
Codex ·GPT-6 Sol57 #670%rank 3 on your PRsup 3 places
Codex ·GPT-6 Astra62 #268%rank 4 on your PRsdown 2 places
Claude Code ·Fable 5.162 #266%rank 5 on your PRsdown 3 places
OpenCode ·GLM-5.354 #855%rank 6 on your PRsup 2 places

Public: Artificial Analysis Coding Agent Index v1.5 rank among 14 agent/model pairs, retrieved 24 Sep 2026. Fullbeam columns are an illustrative example, not a customer result.

How it works

Test any change on work you’ve already shipped.

Trying a new model, agent, MCP tool or prompt? Compare it to what you use today in three steps.

Select

Pick merged pull requests

Each PR turns into a task that starts from the commit before the change. We keep its tests aside for grading.

Specify

Get a spec that doesn’t leak the answer

We write a spec for each PR and check that it doesn’t give away code, file names or tests. If it looks good, approve it in one click.

Grade

Run both setups, graded by your tests

Each task runs a few times, every attempt in its own sandbox. Then a separate sandbox with no model keys runs the PR’s tests.

Benchmark your next coding agent change

Tell us what you want to try and we’ll test it against your current setup. When a new model comes out, you can rerun the same tasks.

We’re in private preview and letting teams in by invite.

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