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CodingAgentBench

plandex × nvidia/nemotron-3-ultra-550b-a55b

polyglot
polyglot/java-null-safety

Per-axis scores

Pass
0.000
Tokens/correct
Wall
88.0s
Blast
1.000
Refusal
Integrity
1.000
Composite
0.425

Run identity

cell_id
newmodels-20260620/plandex/nvidia/nemotron-3-ultra-550b-a55b/polyglot/java-null-safety
sweep_id
newmodels-20260620
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:4b86de012d4a8e3f013a6fbb1ba37b9431e110dfc33d06dc3e0f94c70c0d8327
model_build_id
nvidia/nemotron-3-ultra-550b-a55b
exit_code
1

Timing

started_at
2026-06-20T23:05:07.020367Z
ended_at
2026-06-20T23:06:35.047579Z
duration
88.03 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":"ok normal\n","stderr_tail":"Exception in thread \"main\" java.lang.NullPointerException\n\tat UserGreeter.greet(UserGreeter.java:5)\n\tat Tests.main(Tests.java:18)\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":88027.212,"container_active_ms":88026.009,"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-null-safety"}
composite composite, weights, components, note {"composite":0.42532591069667997,"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":88027.212,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5021727379778667,"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 / 88.03 s
span 93fe982fbbd140b1af560f0141ae048ftask_setupprepare:polyglot/java-null-safety0 ms1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-null-safety-mxxgw3nn/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

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 nvidia/nemotron-3-ultra-550b-a55b \
    --task polyglot/java-null-safety

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 plandex \
  --model nvidia/nemotron-3-ultra-550b-a55b \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/java-null-safety
# 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
93fe982fbbd140b1af560f0141ae048f task_setup prepare:polyglot/java-null-safety 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-null-safety-mxxgw3nn/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
a2d584c9472f491ab039a1db189e0c78 ↳ d89e9d81ba834fdc994dc9fba8667664 tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
575859cb8f53416b9ad11ef85d42d259 ↳ 04d465993c4642d8bb0465ea206468f6 container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","User class lookup crashes on null fields; rewrite to return empty string instead of NPE"],"kind":"plan-first"}
94ed27c2913a4d409c3086871ea0bca8 ↳ 04d465993c4642d8bb0465ea206468f6 container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
04d465993c4642d8bb0465ea206468f6 ↳ d89e9d81ba834fdc994dc9fba8667664 container plandex:pipeline 88026 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","User class lookup crashes on null fields; rewrite to return empty string instead of NPE"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":1,"duration_s":88.00381736102281,"timed_out":false,"plan_phase_done":false,"execute_phase_done":false}
d89e9d81ba834fdc994dc9fba8667664 adapter_run plandex:polyglot/java-null-safety 88026 ms {"timeout_s":600,"plugin_stack":[],"exit_code":1}
d7d68cec102c40a7ba5070cc40a7c8fb 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 × nvidia/nemotron-3-ultra-550b-a55b 43%