qwen-code × nvidia/nemotron-3-ultra-550b-a55b

polyglot

polyglot/java-stream-collect

This run timed out — the agent ran but never finished within the harness limit.

ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out.

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

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

600.6s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.504

Run identity

cell_id: newmodels-20260620/qwen-code/nvidia/nemotron-3-ultra-550b-a55b/polyglot/java-stream-collect
sweep_id: newmodels-20260620
container_image: codingagentbench/qwen-code:v0.16.1
image_digest: sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id: nvidia/nemotron-3-ultra-550b-a55b
exit_code: -1

Timing

started_at: 2026-06-21T00:05:59.003793Z
ended_at: 2026-06-21T00:15:59.604905Z
duration: 600.60 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":600601.112,"container_active_ms":600583.044,"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":0.5038453167967634,"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":600601.112,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.358968778645089,"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 / 600.60 s

span 2437c282bb95440cba12bdd1d53e7ff1task_setupprepare:polyglot/java-stream-collect0 ms → 18 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-stream-collect-c5l5a24z/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Watch it stall

the agent ran but never finished within the harness timeout

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/qwen-code:v0.16.1·sha256:sha256:597f01dba…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/qwen-code:v0.16.1@sha256:sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/qwen-code:v0.16.1@sha256:sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d \
  run-cell \
    --tui qwen-code \
    --model nvidia/nemotron-3-ultra-550b-a55b \
    --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: nvidia/nemotron-3-ultra-550b-a55b

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui qwen-code \
  --model nvidia/nemotron-3-ultra-550b-a55b \
  --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
2437c282bb95440cba12bdd1d53e7ff1	task_setup	prepare:polyglot/java-stream-collect	18 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-stream-collect-c5l5a24z/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
c44b0a01215e48f088c8ddfe6f670715 ↳ b2c19d00acee47199e6080f749f3ab4a	tool_call	applied_plugins	0 ms	`{"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
6647de2a6be940bdb9f01be57e1c3bc4 ↳ b2c19d00acee47199e6080f749f3ab4a	container	qwen-code:run	600583 ms	err: ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out.
b2c19d00acee47199e6080f749f3ab4a	adapter_run	qwen-code:polyglot/java-stream-collect	600583 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":-1,"error":"ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out."}`
a9bb8d1f04264a80922200264430a90e	cleanup	cleanup:qwen-code	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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