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CodingAgentBench

plandex × meta/llama-3.3-70b-instruct

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
206.5s
Blast
0.500
Refusal
—
Integrity
1.000
Composite
0.864

Run identity

cell_id
free-20260527/plandex/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/plandex:v2.2.1
image_digest
sha256:d1d67c7f86699ccffd8fd7f6dca598ef449ca37bc377e42f7d1f0ef3cd4aaee2
model_build_id
meta/llama-3.3-70b-instruct
exit_code
0

Timing

started_at
2026-06-16T20:08:15.130870Z
ended_at
2026-06-16T20:11:41.599147Z
duration
206.47 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":"ok basic frequencies\nok empty list\nok singleton\nok all same\nall tests passed\n","stderr_tail":"","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":206468.277,"container_active_ms":206467.532,"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/WordCounter.java"],"unexpected_changes":[".plandex-v2/projects-v2.json"],"expected_changes":["src/WordCounter.java"],"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/java-stream-collect"}
composite composite, weights, components, note {"composite":0.8642289837508932,"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":206468.277,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.42819322500595397,"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 / 206.47 s
span c86237bbd26f4cf7870616c093394e6btask_setupprepare:polyglot/java-stream-collect0 ms → 1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-2fszuyqp/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 meta/llama-3.3-70b-instruct \
    --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: meta/llama-3.3-70b-instruct
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui plandex \
  --model meta/llama-3.3-70b-instruct \
  --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 (7)

Span Kind Name Duration Attrs / Error
c86237bbd26f4cf7870616c093394e6b task_setup prepare:polyglot/java-stream-collect 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-plandex-polyglot_java-stream-collect-2fszuyqp/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
37f94259dfdb4a84add7e870a81176d5 ↳ 4bcc1ef9721b4e96bd9b7321491bf33f tool_call applied_plugins 0 ms {"tui":"plandex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
9b67a0a8b7584e8a83e751f578cfe835 ↳ 74d356ddc431435fbdadd9e160e90d11 container plandex:phase=plan 0 ms {"phase":"plan","argv":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"kind":"plan-first"}
3d86b1b003a6417ebcbd98911b8b6c5f ↳ 74d356ddc431435fbdadd9e160e90d11 container plandex:phase=execute 0 ms {"phase":"execute","argv":["plandex","build",";","plandex","apply"],"auto_confirm":true}
74d356ddc431435fbdadd9e160e90d11 ↳ 4bcc1ef9721b4e96bd9b7321491bf33f container plandex:pipeline 206467 ms {"image":"codingagentbench/plandex:v2.2.1","timeout_s":600,"plan_phase_cmd":["plandex","new","--name","codingagentbench-plan",";","plandex","tell","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"exec_phase_cmd":["plandex","build",";","plandex","apply"],"exit_code":0,"duration_s":206.43984319397714,"timed_out":false,"plan_phase_done":true,"execute_phase_done":true}
4bcc1ef9721b4e96bd9b7321491bf33f adapter_run plandex:polyglot/java-stream-collect 206468 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
60358198a4ef45c499deee54930e3457 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 × meta/llama-3.3-70b-instruct 86%