qwen-code × stepfun-ai/step-3.5-flash
polyglotpolyglot/ts-generic-utility
Per-axis scores
Pass
0.000 Tokens/correct
— Wall
146.0s Blast
0.800 Refusal
— Integrity
1.000 Composite
0.438 Run identity
- cell_id
- free-20260527/qwen-code/stepfun-ai/step-3.5-flash/polyglot/ts-generic-utility
- 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
- 2026-06-16T20:44:40.405643Z
- ended_at
- 2026-06-16T20:47:06.448627Z
- duration
- 146.04 s
- tokens
- not recorded
Scorer breakdown
Trace replay
space play/pause · ←/→ step span · ,/. step 100 mst = 0 ms / 146.04 s
span
474bf08ffe9045d6a1d78d34398b9240task_setupprepare:polyglot/ts-generic-utility0 ms → 12 ms| workdir | /home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_ts-generic-utility-452haxol/workdir |
| task_category | polyglot |
| plugin_stack | [] |
| behavior_mode | factory |
Terminal playback
replay of the run — opencode cells show genuine step timing; others show a span summaryNo 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/ts-generic-utilityResults 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/ts-generic-utility # provisional score — not for citation
Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.
Trace spans (5)
Model calls (0)
Other CLIs on this task
Other models with this CLI
Embed this result
README / Markdown
[](https://codingagentbench.com/cell/qwen-code/stepfun-ai/step-3.5-flash/polyglot/ts-generic-utility) HTML / iframe
<a href="https://codingagentbench.com/cell/qwen-code/stepfun-ai/step-3.5-flash/polyglot/ts-generic-utility"><img src="https://codingagentbench.com/badge/qwen-code/stepfun-ai/step-3.5-flash/polyglot/ts-generic-utility.svg" alt="CodingAgentBench: qwen-code × stepfun-ai/step-3.5-flash 44%" /></a>