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CodingAgentBench

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

polyglot
polyglot/python-reverse-string

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
188.2s
Blast
0.500
Refusal
—
Integrity
1.000
Composite
0.865

Run identity

cell_id
free-20260527/plandex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-reverse-string
sweep_id
free-20260527
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-16T19:52:56.902913Z
ended_at
2026-06-16T19:56:05.068537Z
duration
188.17 s
tokens
not recorded

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":1,"exit_code":0,"timed_out":false,"stdout_tail":"","stderr_tail":"test_empty (test_reverse.TestReverse.test_empty) ... ok\ntest_palindrome_stays (test_reverse.TestReverse.test_palindrome_stays) ... ok\ntest_single_char (test_reverse.TestReverse.test_single_char) ... ok\ntest_unicode (test_reverse.TestReverse.test_unicode) ... ok\ntest_with_spaces (test_reverse.TestReverse.test_with_spaces) ... ok\ntest_word (test_reverse.TestReverse.test_word) ... ok\n\n----------------------------------------------------------------------\nRan 6 tests in 0.000s\n\nOK\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":1}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":188165.624,"container_active_ms":188164.864,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":0.5,"added":[".plandex-v2/projects-v2.json"],"removed":[],"modified":["src/reverse.py"],"unexpected_changes":[".plandex-v2/projects-v2.json"],"expected_changes":["src/reverse.py"],"total_changes":2,"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/python-reverse-string"}
composite composite, weights, components, note {"composite":0.8653017634779573,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":1,"integrity":1,"blast_radius":0.5,"tokens_per_correct_task":0,"wall_clock_ms":188165.624,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.4353450898530476,"clean_blast":0.5,"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 / 188.17 s
span e8355323cece4b46b0598d97d9998e6ctask_setupprepare:polyglot/python-reverse-string0 ms → 1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_python-reverse-string-ptrb6nk0/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:d1d67c7f8…
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:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/plandex:v2.2.1@sha256:sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2 \
  run-cell \
    --tui plandex \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/python-reverse-string

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 plandex \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-reverse-string
# 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
e8355323cece4b46b0598d97d9998e6c task_setup prepare:polyglot/python-reverse-string 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_python-reverse-string-ptrb6nk0/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
ca47020083dc40329c54a627a87fa433 ↳ 2202c207f3f948a384f646ef9be05094 tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
e659705acb9948a1b8aacd4653f991b7 ↳ 75bf780c582246fdaadb05fcd5c1d35e container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Reverse a string in Python; broken implementation has a wrong slice"],"kind":"plan-first"}
2a94dd0fb5c74a38bbcd90e58c11f9a6 ↳ 75bf780c582246fdaadb05fcd5c1d35e container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
75bf780c582246fdaadb05fcd5c1d35e ↳ 2202c207f3f948a384f646ef9be05094 container plandex:pipeline 188165 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Reverse a string in Python; broken implementation has a wrong slice"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":0,"duration_s":188.14393447700422,"timed_out":false,"plan_phase_done":true,"execute_phase_done":true}
2202c207f3f948a384f646ef9be05094 adapter_run plandex:polyglot/python-reverse-string 188165 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
14db93fc3e0545759cf7dbb1e67b8d9a 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/llama-3.3-nemotron-super-49b-v1 87%