Skip to main content
CodingAgentBench

qwen-code × meta/llama-3.3-70b-instruct

polyglot
polyglot/java-stream-collect
This run timed out — the agent ran but never finished within the harness limit.
ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out.
All scores are reported as recorded. A failed run's zero is an honest measurement.

Per-axis scores

Pass
0.000
Tokens/correct
Wall
600.5s
Blast
0.000
Refusal
Integrity
1.000
Composite
0.504

Run identity

cell_id
free-20260527/qwen-code/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect
sweep_id
free-20260527
container_image
codingagentbench/qwen-code:v0.16.1
image_digest
sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id
meta/llama-3.3-70b-instruct
exit_code
-1

Timing

started_at
2026-06-16T21:40:06.686894Z
ended_at
2026-06-16T21:50:07.182520Z
duration
600.50 s
tokens
not recorded

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":0,"exit_code":1,"timed_out":false,"stdout_tail":"","stderr_tail":"Exception in thread \"main\" java.lang.IllegalStateException: Duplicate key a (attempted merging values 1 and 1)\n\tat java.base/java.util.stream.Collectors.duplicateKeyException(Collectors.java:133)\n\tat java.base/java.util.stream.Collectors.lambda$uniqKeysMapAccumulator$1(Collectors.java:180)\n\tat java.base/java.util.stream.ReduceOps$3ReducingSink.accept(ReduceOps.java:169)\n\tat java.base/java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)\n\tat java.base/java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:484)\n\tat java.base/java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:474)\n\tat java.base/java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:913)\n\tat java.base/java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)\n\tat java.base/java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:578)\n\tat WordCounter.countWords(WordCounter.java:8)\n\tat Tests.main(Tests.java:16)\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":0}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":600495.626,"container_active_ms":600481.387,"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":[],"unexpected_changes":[],"expected_changes":[],"total_changes":0,"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":0.5038467671552915,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":0,"integrity":1,"blast_radius":0,"tokens_per_correct_task":0,"wall_clock_ms":600495.626,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.3589784477019439,"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 / 600.50 s
span d21e132363c94d39975c8391dc797cb6task_setupprepare:polyglot/java-stream-collect0 ms14 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-stream-collect-a2pwidce/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Watch it stall

the agent ran but never finished within the harness timeout
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 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 qwen-code \
  --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 (5)

Span Kind Name Duration Attrs / Error
d21e132363c94d39975c8391dc797cb6 task_setup prepare:polyglot/java-stream-collect 14 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_java-stream-collect-a2pwidce/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
e9008c21fe274f36a5dd5fb74d8bb1d8 ↳ 19d520c5ecd04ca9aae155f969c1922d tool_call applied_plugins 0 ms {"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
df133473c5094265bac41bcf75ea06ed ↳ 19d520c5ecd04ca9aae155f969c1922d container qwen-code:run 600482 ms err: ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out.
19d520c5ecd04ca9aae155f969c1922d adapter_run qwen-code:polyglot/java-stream-collect 600482 ms {"timeout_s":600,"plugin_stack":[],"exit_code":-1,"error":"ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out."}
6c6f39c3a4a84786a56417b17e84243a 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 × meta/llama-3.3-70b-instruct 50%](https://codingagentbench.com/badge/qwen-code/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect.svg)](https://codingagentbench.com/cell/qwen-code/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect)
HTML / iframe
<a href="https://codingagentbench.com/cell/qwen-code/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect"><img src="https://codingagentbench.com/badge/qwen-code/meta/llama-3.3-70b-instruct/polyglot/java-stream-collect.svg" alt="CodingAgentBench: qwen-code × meta/llama-3.3-70b-instruct 50%" /></a>
CodingAgentBench: qwen-code × meta/llama-3.3-70b-instruct 50%