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CodingAgentBench

aider × z-ai/glm-5.1

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
Wall
116.0s
Blast
0.857
Refusal
Integrity
1.000
Composite
0.836

Run identity

cell_id
free-20260527/aider/z-ai/glm-5.1/polyglot/python-two-sum#run1
sweep_id
free-20260527
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
z-ai/glm-5.1
exit_code
0

Timing

started_at
2026-05-29T14:18:21.454736Z
ended_at
2026-05-29T14:20:17.482100Z
duration
116.03 s
prompt_tokens
1,000
completion_tokens
254
tokens source
TUI stdout

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":116027.364,"container_active_ms":116004.373,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":0.8571428571428571,"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":["src/two_sum.py"],"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":["src/two_sum.py"],"total_changes":7,"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":0.8356984779002432,"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":0.8571428571428571,"tokens_per_correct_task":0,"wall_clock_ms":116027.364,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.4760850907635249,"clean_blast":0.1428571428571429,"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 / 116.03 s
span 691ff9e5058a4d20bcec60767dcc8d26task_setupprepare:polyglot/python-two-sum0 ms23 ms
workdir/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-55230vlw/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 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 aider \
  --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 (6)

Span Kind Name Duration Attrs / Error
691ff9e5058a4d20bcec60767dcc8d26 task_setup prepare:polyglot/python-two-sum 23 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-55230vlw/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
6bd78efd92754ab291bcc36f166e1df6 ↳ 13979d5d8930415c885d1cb8c256f881 task_setup aider:git-init-marker 0 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-55230vlw/workdir","git_dir_exists":true}
6aa8e7ed04db45fa9f6eb3022baf0b1f ↳ 13979d5d8930415c885d1cb8c256f881 tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
f39dea8fc4784bcda4a3cbdfa852cce3 ↳ 13979d5d8930415c885d1cb8c256f881 container aider:launch 116004 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/z-ai/glm-5.1","--subtree-only","--message","Find two indices summing to target; broken hash-map walk returns the same index twice"],"timeout_s":600,"exit_code":0,"duration_s":115.98609609700361,"timed_out":false}
13979d5d8930415c885d1cb8c256f881 adapter_run aider:polyglot/python-two-sum 116005 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
e4ef78d143164bd3880b622ebbb253e5 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: 1,000 prompt + 254 completion tokens.

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