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CodingAgentBench

aider × qwen/qwen3-next-80b-a3b-instruct

polyglot
polyglot/java-stream-collect

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
50.6s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.434

Run identity

cell_id
expansion-20260616/aider/qwen/qwen3-next-80b-a3b-instruct/polyglot/java-stream-collect
sweep_id
expansion-20260616
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
qwen/qwen3-next-80b-a3b-instruct
exit_code
0

Timing

started_at
2026-06-17T04:16:52.212050Z
ended_at
2026-06-17T04:17:42.813410Z
duration
50.60 s
prompt_tokens
1,100
completion_tokens
179
tokens source
TUI stdout

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":50601.36,"container_active_ms":50588.656,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json"],"removed":[],"modified":[],"unexpected_changes":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json"],"expected_changes":[],"total_changes":6,"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":0.43415230493950396,"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":1,"tokens_per_correct_task":0,"wall_clock_ms":50601.36,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5610153662633598,"clean_blast":0,"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 / 50.60 s
span 6c0c41f1e33f4264901a96c7d1dca7bctask_setupprepare:polyglot/java-stream-collect0 ms → 12 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-aider-polyglot_java-stream-collect-2ptr1g66/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/aider:v0.86.0·sha256:sha256:f2cd27890…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1 \
  run-cell \
    --tui aider \
    --model qwen/qwen3-next-80b-a3b-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: qwen/qwen3-next-80b-a3b-instruct
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui aider \
  --model qwen/qwen3-next-80b-a3b-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 (6)

Span Kind Name Duration Attrs / Error
6c0c41f1e33f4264901a96c7d1dca7bc task_setup prepare:polyglot/java-stream-collect 12 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-aider-polyglot_java-stream-collect-2ptr1g66/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
9bcc4f317fed4011b7524cf603f7fc31 ↳ 86ea72d3417041adb7c45c62ae618b4f task_setup aider:git-init-marker 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-aider-polyglot_java-stream-collect-2ptr1g66/workdir","git_dir_exists":true}
193c3184a2de4be7aee32db75d4d9f1b ↳ 86ea72d3417041adb7c45c62ae618b4f tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
19f3c69ff97243e2bf5200dfc8b731f7 ↳ 86ea72d3417041adb7c45c62ae618b4f container aider:launch 50589 ms {"image":"codingagentbench/aider:v0.86.0","argv":["--yes-always","--no-stream","--no-check-update","--no-analytics","--no-show-model-warnings","--no-suggest-shell-commands","--no-auto-commits","--no-pretty","--openai-api-base","http://172.17.0.1:31415/v1","--openai-api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","--model","openai/qwen/qwen3-next-80b-a3b-instruct","--subtree-only","--message","Wrong Collector loses duplicates; convert toMap-merge instead of groupingBy"],"timeout_s":600,"exit_code":0,"duration_s":50.57603404900874,"timed_out":false}
86ea72d3417041adb7c45c62ae618b4f adapter_run aider:polyglot/java-stream-collect 50589 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
388deecbcba54a4e9218f62d083ba7d4 cleanup cleanup:aider 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call records not captured for this run. TUI-reported session totals: 1,100 prompt + 179 completion tokens.

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CodingAgentBench: aider × qwen/qwen3-next-80b-a3b-instruct 43%