+ COMPLETED EVAL / PARASAIL GLM 5.3

Nine of ten.
Both records open.

Anchor and mini-swe-agent each resolved nine tasks in the published Lite-10 artifacts. The different failures and setup limits matter as much as the aggregate.

COMPLETED RECORDS 19–20 OCT 2026
Every task, every result
SWE-BENCH LITE / PARASAIL GLM 5.3OFFICIAL GRADER
Anchor9/10
=
mini-swe-agent9/10
RESOLVED / 10 TASKS
Anchor9/10
mini-swe-agent9/10

Anchor: one unresolved patch. Mini: one empty patch after extraction failed. Both published grader reports record nine resolved tasks.

Parasail · temperature 0 · seed 42 · different budgets
READ THE FINE PRINT

Ten selected Lite tasks, not the full benchmark. Both records name zai-org/GLM-5.3 on Parasail and Docker-backed task environments. Anchor's published limits are 120 steps / 25M tokens; mini uses its own 250-step / $3 loop. These are not identical budget policies, and fixed sampling parameters do not establish statistical significance or general superiority.

+ 01 / THE COMPLETED LEDGER

Read the patches.
Not just the score.

Anchor manifest
zai-org/GLM-5.3 10 TASKS / PARASAIL
Completed Parasail GLM 5.3 ten-task results. Missing mini usage is shown as not reported, never zero.
TaskAnchormini-swe-agentAnchor $Mini $
django__django-10914ResolvedResolved$0.2579Not reported
matplotlib__matplotlib-18869Resolved—No patch$0.3979Not reported
mwaskom__seaborn-2848ResolvedResolved$1.4578Not reported
pallets__flask-4045ResolvedResolved$0.4817Not reported
psf__requests-1963ResolvedResolved$0.4610Not reported
pydata__xarray-3364ResolvedResolved$0.3211Not reported
pylint-dev__pylint-5859ResolvedResolved$0.1524Not reported
pytest-dev__pytest-11143ResolvedResolved$0.1003Not reported
sphinx-doc__sphinx-10325ResolvedResolved$0.5598Not reported
sympy__sympy-11400—UnresolvedResolved$0.1263Not reported
TOTAL / 10 TASKS9/109/10$4.3162Not reported
Different stopping paths.

Mini has nine reported step counts (454 in total); the extraction-failed task has no step count. Its complete step aggregate, token usage, and cost are not reported. Task times are rounded here; source records retain milliseconds.

+ 02 / THE HONEST READ

Equal resolution.
Different failure paths.

01

Anchor: sympy remained unresolved.

The published patch did not satisfy the official tests. The record explains the missing relational printer; a local test pass was not enough.

02

Mini: matplotlib produced no extracted patch.

The runner records a git index.lock error during patch extraction. This is a pipeline failure/empty patch, not evidence that the model submitted a patch which failed the hidden tests.

03

No cost-efficiency ratio for this round.

Anchor records $4.3162 and 11.36M tokens. Mini does not report comparable usage. The earlier $0.60 / ≈$1.99 comparison belongs to an older OpenRouter baseline and is not reused here.

+ 03 / SOURCE ARTIFACTS

Two records.
Inspectable outcomes.

Each arm has results, verdicts, manifests, and grading reports. Anchor also includes engine traces; mini does not emit Anchor's event schema.

Both run records identify Docker-backed tasks and the same direct Parasail model endpoint with temperature 0 and seed 42. They ran at different times and used different step/budget policies; do not describe this as a perfectly controlled single-variable experiment.

+ 04 / RUN YOUR OWN EVAL

Use the setup guide.
Keep your own records.

The commands start new runs on current code. Install eval dependencies and prepare task images first. Changing budgets or SDK/model versions changes the experiment; new outcomes are not guaranteed to match these artifacts.

Environment & grading guide
run-benchmark.shSHELL
# From the repository root, after eval setup. Cloud/model calls can cost money.
# PARASAIL_API_KEY must be set. Docker must be running and on PATH.
npm run eval --prefix evals -- \
  --tasks benchmarks/swe-bench/data/swebench-lite-10.jsonl \
  --provider docker --arm anchor --llm parasail \
  --max-steps 120 --max-tokens 25000000

# Mini has its own loop/limits; consult the current runner's options.
npm run eval --prefix evals -- \
  --tasks benchmarks/swe-bench/data/swebench-lite-10.jsonl \
  --provider docker --arm mini --llm parasail
Evaluate the harness on your own workload.Build your agent