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CodingAgentBench

qwen-code × nvidia/llama-3.3-nemotron-super-49b-v1

polyglot
polyglot/java-null-safety

Per-axis scores

Pass
0.000
Tokens/correct
Wall
51.5s
Blast
0.000
Refusal
Integrity
1.000
Composite
0.534

Run identity

cell_id
free-20260527/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/java-null-safety
sweep_id
free-20260527
container_image
codingagentbench/qwen-code:v0.16.1
image_digest
sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-16T21:28:13.657263Z
ended_at
2026-06-16T21:29:05.172158Z
duration
51.52 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":"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":51514.895000000004,"container_active_ms":51501.67600000001,"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-null-safety"}
composite composite, weights, components, note {"composite":0.5338466477726094,"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":51514.895000000004,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5589776518173963,"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 / 51.52 s
span d8a8457beeab42468f7ab634dc85687ctask_setupprepare:polyglot/java-null-safety0 ms13 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-null-safety-kpw9e5qu/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/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/llama-3.3-nemotron-super-49b-v1 \
    --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/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 qwen-code \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --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 (5)

Span Kind Name Duration Attrs / Error
d8a8457beeab42468f7ab634dc85687c task_setup prepare:polyglot/java-null-safety 13 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-null-safety-kpw9e5qu/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
76ad470332f4476584590217b99de4f4 ↳ fe5bf12b627f459d8765222f47964948 tool_call applied_plugins 0 ms {"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
a4919bc444bf4da3ac16adb90c8eb5c5 ↳ fe5bf12b627f459d8765222f47964948 container qwen-code:run 51502 ms {"image":"codingagentbench/qwen-code:v0.16.1","command":["-p","User class lookup crashes on null fields; rewrite to return empty string instead of NPE","--yolo"],"model":"nvidia/llama-3.3-nemotron-super-49b-v1","exit_code":0,"timed_out":false}
fe5bf12b627f459d8765222f47964948 adapter_run qwen-code:polyglot/java-null-safety 51502 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
fe96e5cf75fa4473a18176c1602d895b 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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CodingAgentBench: qwen-code × nvidia/llama-3.3-nemotron-super-49b-v1 53%