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CodingAgentBench

codex × stepfun-ai/step-3.5-flash

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
1.000
Tokens/correct
Wall
18.6s
Blast
0.000
Refusal
Integrity
1.000
Composite
0.953

Run identity

cell_id
expansion-20260616/codex/stepfun-ai/step-3.5-flash/polyglot/java-stream-collect
sweep_id
expansion-20260616
container_image
codingagentbench/codex:v0.140.0
image_digest
sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc
model_build_id
stepfun-ai/step-3.5-flash
exit_code
0

Timing

started_at
2026-06-17T00:59:30.762099Z
ended_at
2026-06-17T00:59:49.392732Z
duration
18.63 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":18630.632999999998,"container_active_ms":18617.484,"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":["src/WordCounter.java"],"unexpected_changes":[],"expected_changes":["src/WordCounter.java"],"total_changes":1,"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-stream-collect"}
composite composite, weights, components, note {"composite":0.9529632161489895,"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,"tokens_per_correct_task":0,"wall_clock_ms":18630.632999999998,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.686421440993263,"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 / 18.63 s
span 3f369f1c928d4d00b071aa707de44117task_setupprepare:polyglot/java-stream-collect0 ms12 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_java-stream-collect-a6t1c8e3/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/codex:v0.140.0·sha256:sha256:52116224f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc \
  run-cell \
    --tui codex \
    --model stepfun-ai/step-3.5-flash \
    --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: stepfun-ai/step-3.5-flash
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui codex \
  --model stepfun-ai/step-3.5-flash \
  --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
3f369f1c928d4d00b071aa707de44117 task_setup prepare:polyglot/java-stream-collect 12 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_java-stream-collect-a6t1c8e3/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
7da38fc079e148caa5293f8f5aa5b3fc ↳ 09a312b85e1040d1afbd5ef7b079ba40 tool_call applied_plugins 0 ms {"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
60abf2c5a943402a8abe22bbcb441680 ↳ 09a312b85e1040d1afbd5ef7b079ba40 container codex:launch 18617 ms {"image":"codingagentbench/codex:v0.140.0","argv":["exec","--dangerously-bypass-approvals-and-sandbox","--skip-git-repo-check","--ephemeral","--ignore-user-config","-m","stepfun-ai/step-3.5-flash","-c","model_providers.nim={ name = 'nim', base_url = 'http://172.17.0.1:31415/v1', wire_api = 'responses', env_key = 'OPENAI_API_KEY' }","-c","model_provider=\"nim\"","--disable","multi_agent","--disable","browser_use","--disable","browser_use_external","--disable","computer_use","--disable","apps","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"timeout_s":600,"exit_code":0,"duration_s":18.59890805199393,"timed_out":false}
09a312b85e1040d1afbd5ef7b079ba40 adapter_run codex:polyglot/java-stream-collect 18618 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
5a0179d0401648b490493ba74b1dd59c cleanup cleanup:codex 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: codex × stepfun-ai/step-3.5-flash 95%