plandex × minimaxai/minimax-m3

polyglot

polyglot/java-stream-collect

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

34.8s

Blast

1.000

Refusal

—

Integrity

1.000

Composite

0.441

Run identity

cell_id: newmodels-20260620/plandex/minimaxai/minimax-m3/polyglot/java-stream-collect
sweep_id: newmodels-20260620
container_image: codingagentbench/plandex:v2.2.1
image_digest: sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327
model_build_id: minimaxai/minimax-m3
exit_code: 1

Timing

started_at: 2026-06-20T22:59:39.758090Z
ended_at: 2026-06-20T23:00:14.520509Z
duration: 34.76 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":34762.419,"container_active_ms":34761.674,"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":0.4408587855305093,"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":34762.419,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6057252368700619,"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

speedt = 0 ms / 34.76 s

span 242ab975f042411aafbfc5445ee00621adapter_runplandex:polyglot/java-stream-collect0 ms → 34.76 s

timeout_s600
plugin_stack[]
exit_code1

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:sha256:4b86de012…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/plandex:v2.2.1@sha256:sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/plandex:v2.2.1@sha256:sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327 \
  run-cell \
    --tui plandex \
    --model minimaxai/minimax-m3 \
    --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: minimaxai/minimax-m3

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui plandex \
  --model minimaxai/minimax-m3 \
  --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
e36d4e4a8f8645c98a9eed0ca4d1d597	task_setup	prepare:polyglot/java-stream-collect	0 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-etdxjigv/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
5d16ee88f282466198fe888233af9611 ↳ 242ab975f042411aafbfc5445ee00621	tool_call	applied_plugins	0 ms	`{"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
e4a01e4d649345dabd5a2ec8a5379a83 ↳ 7625e0f32c674208922c579a245ed0f8	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"}`
b4e63281afce4d638bacdfae7cc7456c ↳ 7625e0f32c674208922c579a245ed0f8	container	plandex:phase=execute	0 ms	`{"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}`
7625e0f32c674208922c579a245ed0f8 ↳ 242ab975f042411aafbfc5445ee00621	container	plandex:pipeline	34762 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":34.74259927403182,"timed_out":false,"plan_phase_done":false,"execute_phase_done":false}`
242ab975f042411aafbfc5445ee00621	adapter_run	plandex:polyglot/java-stream-collect	34762 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":1}`
768ec60269fd4285a63c0c0a2084ef61	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 × minimaxai/minimax-m3 44%](https://codingagentbench.com/badge/plandex/minimaxai/minimax-m3/polyglot/java-stream-collect.svg)](https://codingagentbench.com/cell/plandex/minimaxai/minimax-m3/polyglot/java-stream-collect)

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