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CodingAgentBench

goose × nvidia/nemotron-3-super-120b-a12b

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
64.5s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.530

Run identity

cell_id
free-20260527/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/goose:v1.35.0
image_digest
sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6
model_build_id
nvidia/nemotron-3-super-120b-a12b
exit_code
0

Timing

started_at
2026-06-16T17:37:40.679304Z
ended_at
2026-06-16T17:38:45.176190Z
duration
64.50 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":64496.886000000006,"container_active_ms":64496.094999999994,"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":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":0.5301222935648936,"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":64496.886000000006,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5341486237659578,"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
t = 0 ms / 64.50 s
span 345fda603ed145488bc86303905d1a02adapter_rungoose:polyglot/java-stream-collect0 ms → 64.50 s
timeout_s600
plugin_stack[]
exit_code0

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/goose:v1.35.0·sha256:sha256:b105cf72a…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/goose:v1.35.0@sha256:sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/goose:v1.35.0@sha256:sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6 \
  run-cell \
    --tui goose \
    --model nvidia/nemotron-3-super-120b-a12b \
    --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-super-120b-a12b
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui goose \
  --model nvidia/nemotron-3-super-120b-a12b \
  --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 (6)

Span Kind Name Duration Attrs / Error
d64d3b1018864b1b99145cfe60c18abc task_setup prepare:polyglot/java-stream-collect 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-goose-polyglot_java-stream-collect-6w4saps3/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
ed827e8e986343cc9df16039d553711b ↳ 345fda603ed145488bc86303905d1a02 tool_call applied_plugins 0 ms {"tui":"goose","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
a1e6394195004708917370927b237799 ↳ 345fda603ed145488bc86303905d1a02 tool_call goose:extensions 0 ms {"extensions":[],"count":0}
c8a67889820347b3a98bf32f6011c9e6 ↳ 345fda603ed145488bc86303905d1a02 container goose:run 64497 ms {"image":"codingagentbench/goose:v1.35.0","command":["run","--no-session","-t","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"exit_code":0,"timed_out":false}
345fda603ed145488bc86303905d1a02 adapter_run goose:polyglot/java-stream-collect 64497 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
be90f648a2834edba5064be85dc11f26 cleanup cleanup:goose 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: goose × nvidia/nemotron-3-super-120b-a12b 53%