Code agent evaluation

Code agent benchmarks in 2026: why SWE-Bench Pro brings expectations back to earth

An honest take on SWE-Bench Pro, LiveCodeBench, and why contaminated benchmarks overestimate models. Template to evaluate agents on your own tasks.

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Wasyra Engineering
Modernization, architecture, and reliable delivery
Published
April 19, 2026
min read
7 min read
Categoría
Engineering
23%top model average on SWE-Bench Pro

Chapter 01

The gap between Verified and Pro tells the story

SWE-Bench Verified is the marketing-friendly benchmark: curated tasks, reproducible, easy to show. Top models clear 70%. SWE-Bench Pro takes 1,865 multi-file, multi-language tasks (~107 lines, 4.1 files on average). The same models drop to 23%.

The takeaway isn't that the models are bad. It's that anyone promising “full autonomy” is talking about the easy benchmark. Your codebase looks more like the hard one.

  • OpenAI GPT-5 and Claude Opus 4.1 score 23.3% and 23.1% respectively on SWE-Bench Pro.
  • Verified is plateauing; Pro leaves clear room to improve.
  • Multi-file + multi-language + human-judged acceptance = closer to your actual work.

Chapter 02

Why LiveCodeBench also matters

Traditional benchmarks suffer contamination: tasks end up inside the next generation's training set. LiveCodeBench refreshes problems continuously, so scores don't get inflated by memorization.

If you only look at one benchmark, watch that one plus SWE-Bench Pro. Enough to avoid buying hype.

Chapter 03

How to evaluate agents on your own repo

Public benchmarks give you the floor. Your internal eval gives you the ceiling. The most useful pattern we see with clients: build a fixed set of 30 to 60 real tasks and run them against each model every quarter.

  • Mix tasks: bug fix, bounded refactor, small feature, writing tests, docs.
  • Define success up front: tests green + human review in under N minutes.
  • Measure cost per task (tokens + time) and review time, not only success rate.
  • Re-run for each new model; drop the ones that don't beat the current one by a clear margin.
An agent that hits 60% on your internal eval with 8 minutes of human review usually beats one that hits 80% with 30 minutes of review. Total cost > nominal rate.

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Wasyra Engineering

Modernization, architecture, and reliable delivery

Wasyra Engineering documents patterns for moving legacy systems without freezing delivery or breaking ownership.

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