Skip to main content
CodingAgentBench

qwen-code × stepfun-ai/step-3.5-flash

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
57.4s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.932

Run identity

cell_id
free-20260527/qwen-code/stepfun-ai/step-3.5-flash/polyglot/python-two-sum
sweep_id
free-20260527
container_image
codingagentbench/qwen-code:v0.16.1
image_digest
sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id
stepfun-ai/step-3.5-flash
exit_code
0

Timing

started_at
2026-06-16T20:44:14.825083Z
ended_at
2026-06-16T20:45:12.239064Z
duration
57.41 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":57413.981,"container_active_ms":57380.125,"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":0.9320232410705787,"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":57413.981,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5468216071371906,"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 / 57.41 s
span d7420ef8e07744d6b21843b5df244c80task_setupprepare:polyglot/python-two-sum0 ms → 17 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-1o6tjcy0/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 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 qwen-code \
  --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
d7420ef8e07744d6b21843b5df244c80 task_setup prepare:polyglot/python-two-sum 17 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-1o6tjcy0/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
03ffd2772a45455ba5e440801bb8c3e8 ↳ ff52eed419d34238801427e1d50b5e59 tool_call applied_plugins 0 ms {"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
23f5ac285fc34d67ba30bc765891c454 ↳ ff52eed419d34238801427e1d50b5e59 container qwen-code:run 57380 ms {"image":"codingagentbench/qwen-code:v0.16.1","command":["-p","Find two indices summing to target; broken hash-map walk returns the same index twice","--yolo"],"model":"stepfun-ai/step-3.5-flash","exit_code":0,"timed_out":false}
ff52eed419d34238801427e1d50b5e59 adapter_run qwen-code:polyglot/python-two-sum 57397 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
c7b512c1a87d42e0bfa1e4acd33dbdf5 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.

Other CLIs on this task

Other models with this CLI

Other tasks in this category

Embed this result
README / Markdown
[![CodingAgentBench: qwen-code × stepfun-ai/step-3.5-flash 93%](https://codingagentbench.com/badge/qwen-code/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/qwen-code/stepfun-ai/step-3.5-flash/polyglot/python-two-sum)
HTML / iframe
<a href="https://codingagentbench.com/cell/qwen-code/stepfun-ai/step-3.5-flash/polyglot/python-two-sum"><img src="https://codingagentbench.com/badge/qwen-code/stepfun-ai/step-3.5-flash/polyglot/python-two-sum.svg" alt="CodingAgentBench: qwen-code × stepfun-ai/step-3.5-flash 93%" /></a>
CodingAgentBench: qwen-code × stepfun-ai/step-3.5-flash 93%