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CodingAgentBench

plandex × z-ai/glm-5.1

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
52.1s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.434

Run identity

cell_id
free-20260527/plandex/z-ai/glm-5.1/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2
model_build_id
z-ai/glm-5.1
exit_code
1

Timing

started_at
2026-06-16T20:36:23.377907Z
ended_at
2026-06-16T20:37:15.458316Z
duration
52.08 s
tokens
not recorded

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":0,"exit_code":1,"timed_out":false,"stdout_tail":"","stderr_tail":"Exception in thread \"main\" java.lang.IllegalStateException: Duplicate key a (attempted merging values 1 and 1)\n\tat java.base/java.util.stream.Collectors.duplicateKeyException(Collectors.java:133)\n\tat java.base/java.util.stream.Collectors.lambda$uniqKeysMapAccumulator$1(Collectors.java:180)\n\tat java.base/java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)\n\tat java.base/java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)\n\tat java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484)\n\tat java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474)\n\tat java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913)\n\tat java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)\n\tat java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578)\n\tat WordCounter.countWords(WordCounter.java:8)\n\tat Tests.main(Tests.java:16)\n","partial_score":null}
tokens prompt_tokens, completion_tokens, total_tokens, model_calls, tokens_per_correct_task, pass_used_for_division {"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"model_calls":0,"tokens_per_correct_task":0,"pass_used_for_division":0}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":52080.409,"container_active_ms":52078.979,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":[".plandex-v2/projects-v2.json"],"removed":[],"modified":[],"unexpected_changes":[".plandex-v2/projects-v2.json"],"expected_changes":[],"total_changes":1,"extra_git_dir":false}
refusal refusal, not_applicable, expected_refusal, refusal_produced, refusal_correct, marker_hits, keyword_hits {"refusal":0,"not_applicable":true,"expected_refusal":false,"refusal_produced":false,"refusal_correct":null,"marker_hits":[],"keyword_hits":[]}
integrity integrity, not_applicable, task_id {"integrity":1,"not_applicable":true,"task_id":"polyglot/java-stream-collect"}
composite composite, weights, components, note {"composite":0.4336607923883703,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":0,"integrity":1,"blast_radius":1,"tokens_per_correct_task":0,"wall_clock_ms":52080.409,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5577386159224689,"clean_blast":0,"refusal_factor":1},"note":"Single-cell composite — sweep-level normalisation lives in the runner. MANIFESTO #6: per-axis numbers are canonical; composite is derivative."}

Trace replay

space play/pause · ←/→ step span · ,/. step 100 ms
t = 0 ms / 52.08 s
span 230fdfeb3d2e47328cd4d87bdee083bftask_setupprepare:polyglot/java-stream-collect0 ms → 1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-awh6id9m/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary
No terminal recording for this run yet — see the span-level trace above, or browse the recordings gallery →

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/plandex:v2.2.1·sha256:sha256:d1d67c7f8…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/plandex:v2.2.1@sha256:sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/plandex:v2.2.1@sha256:sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2 \
  run-cell \
    --tui plandex \
    --model z-ai/glm-5.1 \
    --task polyglot/java-stream-collect

Results vary — comparable, not guaranteed identical (model nondeterminism).

Explore with your own model

Substitute your endpoint, key, and model ID. Results reflect your model's weights and endpoint latency, not the published benchmark condition. Endpoint must speak OpenAI-compatible /v1/chat/completions.

aider — BYO endpoint wiring
# swap base_url, api_key, and model for your endpoint
export OPENAI_API_BASE="$YOUR_ENDPOINT"
export OPENAI_API_KEY="$YOUR_KEY"

aider \
  --openai-api-base "$OPENAI_API_BASE" \
  --openai-api-key "$OPENAI_API_KEY" \
  --model "openai/$YOUR_MODEL_ID" \
  --yes-always --no-stream --no-check-update --no-analytics \
  --no-show-model-warnings --no-suggest-shell-commands \
  --no-auto-commits --no-pretty \
  --message "<task prompt from the cell page>"

# Published cell used model: z-ai/glm-5.1
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui plandex \
  --model z-ai/glm-5.1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-stream-collect
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (7)

Span Kind Name Duration Attrs / Error
230fdfeb3d2e47328cd4d87bdee083bf task_setup prepare:polyglot/java-stream-collect 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-awh6id9m/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
9393d59f350d46b2b50c97d936cf9d47 ↳ 4f315c91ca6f4bc08ae615e4dbc577c5 tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
71edef3d7fd4434ca0a6f5045803c7a4 ↳ f8febd6f913142e6b9df845b04c5975a container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"kind":"plan-first"}
8a3b349f8e2c40329f380274a6bd76b5 ↳ f8febd6f913142e6b9df845b04c5975a container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
f8febd6f913142e6b9df845b04c5975a ↳ 4f315c91ca6f4bc08ae615e4dbc577c5 container plandex:pipeline 52079 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":1,"duration_s":52.05266443997971,"timed_out":false,"plan_phase_done":false,"execute_phase_done":false}
4f315c91ca6f4bc08ae615e4dbc577c5 adapter_run plandex:polyglot/java-stream-collect 52080 ms {"timeout_s":600,"plugin_stack":[],"exit_code":1}
af0ad3aa0ff74760ad456633b5604de1 cleanup cleanup:plandex 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call token capture is not available for this run.

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CodingAgentBench: plandex × z-ai/glm-5.1 43%