codex × qwen/qwen3.5-122b-a10b

polyglot

polyglot/java-stream-collect

Model incompatible with this TUI — they could not handshake.

All scores are reported as recorded. A failed run's zero is an honest measurement.

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

1.2s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.593

Run identity

cell_id: expansion-20260616/codex/qwen/qwen3.5-122b-a10b/polyglot/java-stream-collect
sweep_id: expansion-20260616
container_image: codingagentbench/codex:v0.140.0
image_digest: sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc
model_build_id: qwen/qwen3.5-122b-a10b
exit_code: 1

Timing

started_at: 2026-06-17T01:00:53.600951Z
ended_at: 2026-06-17T01:00:54.816884Z
duration: 1.22 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":1215.933,"container_active_ms":1200.971,"model_call_ms":0}`
blast_radius	blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir	`{"blast_radius":0,"added":[],"removed":[],"modified":[],"unexpected_changes":[],"expected_changes":[],"total_changes":0,"extra_git_dir":true}`
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":0.5928795400674454,"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":0,"tokens_per_correct_task":0,"wall_clock_ms":1215.933,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.9525302671163028,"clean_blast":1,"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 / 1.22 s

span df3e60e163b7425e98552edc1c88de60task_setupprepare:polyglot/java-stream-collect0 ms → 15 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_java-stream-collect-0jj_9chw/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Watch it fail

the TUI and model could not handshake

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/codex:v0.140.0·sha256:sha256:52116224f…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc \
  run-cell \
    --tui codex \
    --model qwen/qwen3.5-122b-a10b \
    --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: qwen/qwen3.5-122b-a10b

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

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui codex \
  --model qwen/qwen3.5-122b-a10b \
  --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 (5)

Span	Kind	Name	Duration	Attrs / Error
df3e60e163b7425e98552edc1c88de60	task_setup	prepare:polyglot/java-stream-collect	15 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_java-stream-collect-0jj_9chw/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
b1ba1038853340238385bc3032ce36e2 ↳ d668aa6cae4f464e8a65043404ed99f6	tool_call	applied_plugins	0 ms	`{"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
86953d4544ca4a4393424e7f62a74b89 ↳ d668aa6cae4f464e8a65043404ed99f6	container	codex:launch	1201 ms	{"image":"codingagentbench/codex:v0.140.0","argv":["exec","--dangerously-bypass-approvals-and-sandbox","--skip-git-repo-check","--ephemeral","--ignore-user-config","-m","qwen/qwen3.5-122b-a10b","-c","model_providers.nim={ name = 'nim', base_url = 'http://172.17.0.1:31415/v1', wire_api = 'responses', env_key = 'OPENAI_API_KEY' }","-c","model_provider=\"nim\"","--disable","multi_agent","--disable","browser_use","--disable","browser_use_external","--disable","computer_use","--disable","apps","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"timeout_s":600,"exit_code":1,"duration_s":1.1864006799878553,"timed_out":false}
d668aa6cae4f464e8a65043404ed99f6	adapter_run	codex:polyglot/java-stream-collect	1201 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":1}`
97bb7ad0fd984017b36f7ab766070368	cleanup	cleanup:codex	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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