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CodingAgentBench

codex × stepfun-ai/step-3.5-flash

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
62.7s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.931

Run identity

cell_id
expansion-20260616/codex/stepfun-ai/step-3.5-flash/polyglot/python-two-sum
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
2026-06-17T01:04:02.591995Z
ended_at
2026-06-17T01:05:05.248505Z
duration
62.66 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_basic (test_two_sum.TestTwoSum.test_basic) ... ok\ntest_empty (test_two_sum.TestTwoSum.test_empty) ... ok\ntest_middle (test_two_sum.TestTwoSum.test_middle) ... ok\ntest_negative_numbers (test_two_sum.TestTwoSum.test_negative_numbers) ... ok\ntest_no_solution (test_two_sum.TestTwoSum.test_no_solution) ... ok\ntest_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices) ... ok\ntest_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element) ... ok\ntest_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair) ... ok\n\n----------------------------------------------------------------------\nRan 8 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":62656.509999999995,"container_active_ms":62642.78,"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/two_sum.py"],"unexpected_changes":[],"expected_changes":["src/two_sum.py"],"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/python-two-sum"}
composite composite, weights, components, note {"composite":0.9305899384204843,"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":62656.509999999995,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5372662561365618,"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 / 62.66 s
span 127c3c83fce64d8eb285d6842a4bee39task_setupprepare:polyglot/python-two-sum0 ms → 13 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-27h9drpw/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/python-two-sum

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/python-two-sum
# 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
127c3c83fce64d8eb285d6842a4bee39 task_setup prepare:polyglot/python-two-sum 13 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-27h9drpw/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
9ebf8b6934984fe68d0998adce2dd7b8 ↳ 982745658a0249908166ba9ef8dad78c tool_call applied_plugins 0 ms {"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
bdd08b5f470c46e382410970335c4320 ↳ 982745658a0249908166ba9ef8dad78c container codex:launch 62643 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","Find two indices summing to target; broken hash-map walk returns the same index twice"],"timeout_s":600,"exit_code":0,"duration_s":62.62687637799536,"timed_out":false}
982745658a0249908166ba9ef8dad78c adapter_run codex:polyglot/python-two-sum 62643 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
7d6123d1b0e64a9a971346cb856823f6 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 93%](https://codingagentbench.com/badge/codex/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/codex/stepfun-ai/step-3.5-flash/polyglot/python-two-sum)
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<a href="https://codingagentbench.com/cell/codex/stepfun-ai/step-3.5-flash/polyglot/python-two-sum"><img src="https://codingagentbench.com/badge/codex/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg" alt="CodingAgentBench: codex × stepfun-ai/step-3.5-flash 93%" /></a>
CodingAgentBench: codex × stepfun-ai/step-3.5-flash 93%