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CodingAgentBench

qwen-code × z-ai/glm-5.1

polyglot
polyglot/python-two-sum
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
600.8s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.504

Run identity

cell_id
free-20260527/qwen-code/z-ai/glm-5.1/polyglot/python-two-sum
sweep_id
free-20260527
container_image
codingagentbench/qwen-code:v0.16.1
image_digest
sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id
z-ai/glm-5.1
exit_code
-1

Timing

started_at
2026-06-15T23:58:36.239122Z
ended_at
2026-06-16T00:08:37.075343Z
duration
600.84 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":"est_middle\n self.assertEqual(two_sum([3, 2, 4], 6), (1, 2))\nAssertionError: Tuples differ: (0, 0) != (1, 2)\n\nFirst differing element 0:\n0\n1\n\n- (0, 0)\n+ (1, 2)\n\n======================================================================\nFAIL: test_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-4wjt0fdj/workdir/tests/test_two_sum.py\", line 22, in test_same_value_two_indices\n self.assertEqual(two_sum([3, 3], 6), (0, 1))\nAssertionError: Tuples differ: (0, 0) != (0, 1)\n\nFirst differing element 1:\n0\n1\n\n- (0, 0)\n? ^\n\n+ (0, 1)\n? ^\n\n\n======================================================================\nFAIL: test_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-4wjt0fdj/workdir/tests/test_two_sum.py\", line 26, in test_target_double_unique_element\n self.assertIsNone(two_sum([4], 8))\nAssertionError: (0, 0) is not None\n\n======================================================================\nFAIL: test_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-4wjt0fdj/workdir/tests/test_two_sum.py\", line 30, in test_target_double_with_other_pair\n self.assertEqual(two_sum([4, 1, 7], 8), (1, 2))\nAssertionError: Tuples differ: (0, 0) != (1, 2)\n\nFirst differing element 0:\n0\n1\n\n- (0, 0)\n+ (1, 2)\n\n----------------------------------------------------------------------\nRan 8 tests in 0.001s\n\nFAILED (failures=4)\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":600836.221,"container_active_ms":600800.285,"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/python-two-sum"}
composite composite, weights, components, note {"composite":0.5038420853952315,"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":600836.221,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.35894723596820954,"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 / 600.84 s
span 8af8b486cc6b4473bf2d61ebda7613ebtask_setupprepare:polyglot/python-two-sum0 ms → 35 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-4wjt0fdj/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 z-ai/glm-5.1 \
    --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: z-ai/glm-5.1
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui qwen-code \
  --model z-ai/glm-5.1 \
  --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
8af8b486cc6b4473bf2d61ebda7613eb task_setup prepare:polyglot/python-two-sum 35 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-4wjt0fdj/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
03a8971ad3324ec3a714595c29caf20a ↳ abdce0094a5a4f3c898d32a13d59dad7 tool_call applied_plugins 0 ms {"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
37cffd35fab243eb8b6153979fe4bc89 ↳ abdce0094a5a4f3c898d32a13d59dad7 container qwen-code:run 600801 ms err: ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out.
abdce0094a5a4f3c898d32a13d59dad7 adapter_run qwen-code:polyglot/python-two-sum 600801 ms {"timeout_s":600,"plugin_stack":[],"exit_code":-1,"error":"ConnectionError: UnixHTTPConnectionPool(host='localhost', port=None): Read timed out."}
efbb31ff75174653a952e22fa1eb1b41 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.

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