BackendForge (Base Oracle): leaderboard

BackendForge (Peking University, 2026) asks coding agents to build a complete Dockerized Python backend service from a written specification and an OpenAPI contract for 56 services rewritten from open-source applications, judged only through black-box HTTP tests. Task success rate in percent against the base oracle written before any reference implementation existed; a task counts only when every test passes, higher is better.

Metric: Task success rate (%; base oracle of 7,250 items written before the reference implementation; 56 contract-defined backend services rewritten from open-source applications; from a visible spec and OpenAPI contract the agent builds a Dockerized Python service, scored only through black-box HTTP pytest items; a task counts only when every item passes; one attempt per task in the same mini-SWE-style coding harness). Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (Max)58.93#79 (Claude Opus 4.7)
2GPT-5.5 (xHigh)55.36#49 (GPT-5.5)
3Kimi K2.639.29#178
4Claude Sonnet 4.6 (Max)39.29#161 (Claude Sonnet 4.6)
5DeepSeek V4 Pro (Max)32.14#188 (DeepSeek V4 Pro)
6GLM-5.126.79#179
7DeepSeek V4 Pro (High)25#188 (DeepSeek V4 Pro)
8Qwen 3.6 Plus (High)23.21#222 (Qwen 3.6 Plus)
9Gemini 3.5 Flash21.43#101
10DeepSeek V4 Flash (High)21.43#258 (DeepSeek V4 Flash)
11DeepSeek V4 Flash (Max)19.64#258 (DeepSeek V4 Flash)
12Hy3-preview (High)12.5#316 (Hy3-preview)
13MiniMax-M2.75.36#518

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=backendforge-base-oracle · How It Works · Data refreshed daily, snapshot 2026-11-13.