Benchmark Almanac

Hy-Backend 2.0

Coding agents complete Tencent in-house backend development tasks in the Claude Code scaffold. Task and scoring details are not published.

Tencent runs it with Claude Code for all models except GPT models, which use Codex.

Made by Tencent Hy team Released Jul 2026 Fixing real repositories Tasks kept private Last in a launch post Aug 2026 Last model added Aug 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Code A program or patch run against tests.
2
Models scored in lab cards
2
Launch posts list it, from 1 lab

Tencent Hy4 preview leads with 35.2%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Tencent Hy4 preview 35.2%
  2. 2 Tencent Hy3 25%
#ModelScoreSettingDateSource
1 Tencent Hy4 preview 35.2% Aug 2026 Model card
2 Tencent Hy3 25% Jul 2026 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% Near the ceiling (85%) Tencent Hy4 preview Tencent Hy3 0% 20% 40% 60% 80% 100% Near the ceiling (85%) Tencent Hy4 preview Tencent Hy3

One lab put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Tencent
DateLaunch postScoreAs the post writes it
28 Aug 2026 Tencent Hy4 preview 35.2 Hy-Backend 2.0 (Internal)
2 Jul 2026 Tencent Hy3 25 Hy-Backend 2.0 (internal)

Versions

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