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CodingAgentBench

crush × nvidia/llama-3.3-nemotron-super-49b-v1

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
21.5s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.450

Run identity

cell_id
free-20260527/crush/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/crush:v0.72.0
image_digest
sha256:28e141efa8509cd43fd465b035019d1b35d76e97aec19fc90b08211741c7bbf7
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-16T16:53:49.202225Z
ended_at
2026-06-16T16:54:10.727097Z
duration
21.52 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":21524.872,"container_active_ms":21523.82,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":[".crush-xdg/crush/crush.json",".crush/.gitignore",".crush/crush.db",".crush/crush.json",".crush/logs/crush.log"],"removed":[],"modified":[],"unexpected_changes":[".crush-xdg/crush/crush.json",".crush/.gitignore",".crush/crush.db",".crush/crush.json",".crush/logs/crush.log"],"expected_changes":[],"total_changes":5,"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":0.45008985854717026,"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":21524.872,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.667265723647802,"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 / 21.52 s
span 63ac8e20445f4cb5822ce9f5f2fe38e5tool_callapplied_plugins0 ms → 0 ms
tuicrush
count0
applied[]
env_keys[]
extra_args[]
applied_count0
skipped_count0

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/crush:v0.72.0·sha256:sha256:28e141efa…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/crush:v0.72.0@sha256:sha256:28e141efa8509cd43fd465b035019d1b35d76e97aec19fc90b08211741c7bbf7

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/crush:v0.72.0@sha256:sha256:28e141efa8509cd43fd465b035019d1b35d76e97aec19fc90b08211741c7bbf7 \
  run-cell \
    --tui crush \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --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/llama-3.3-nemotron-super-49b-v1
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui crush \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --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
625294ef50e7481cbb32ec864302f6b1 task_setup prepare:polyglot/java-stream-collect 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-crush-polyglot_java-stream-collect-al68b9m9/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
63ac8e20445f4cb5822ce9f5f2fe38e5 ↳ 7a41ad8493e64424b4f55336cf1f6475 tool_call applied_plugins 0 ms {"tui":"crush","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
f00ce74c775349fbab57c8f18485b0aa ↳ 7a41ad8493e64424b4f55336cf1f6475 container crush-run:polyglot/java-stream-collect 21523 ms {"image":"codingagentbench/crush:v0.72.0","model":"nvidia/llama-3.3-nemotron-super-49b-v1","base_url":"http://172.17.0.1:31415/v1","exit_code":0,"duration_s":21.511,"timed_out":false,"image_digest":"sha256:28e141efa8509cd43fd465b035019d1b35d76e97aec19fc90b08211741c7bbf7"}
7a41ad8493e64424b4f55336cf1f6475 adapter_run crush:polyglot/java-stream-collect 21524 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
ec7a84a5c50e4eb5a43c87a1f5ad5f8e cleanup cleanup:crush 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: crush × nvidia/llama-3.3-nemotron-super-49b-v1 45%