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CodingAgentBench

opencode × qwen/qwen3.5-397b-a17b

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
39.0s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.939

Run identity

cell_id
newmodels-20260620/opencode/qwen/qwen3.5-397b-a17b/polyglot/python-two-sum
sweep_id
newmodels-20260620
container_image
codingagentbench/opencode:v1.15.10
image_digest
sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275
model_build_id
qwen/qwen3.5-397b-a17b
exit_code
0

Timing

started_at
2026-06-20T21:45:12.572655Z
ended_at
2026-06-20T21:45:51.605224Z
duration
39.03 s
tokens
not recorded

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":39032.569,"container_active_ms":39031.314,"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":["src/two_sum.py"],"unexpected_changes":[],"expected_changes":["src/two_sum.py"],"total_changes":1,"extra_git_dir":false}
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":0.93873195042824,"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,"tokens_per_correct_task":0,"wall_clock_ms":39032.569,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5915463361882658,"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 / 39.03 s
span 27edd9f0b5a1418bafdb0f0fcee13a5dtask_setupprepare:polyglot/python-two-sum0 ms → 1 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-kc29nku0/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary
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/opencode:v1.15.10·sha256:sha256:e56bdb69f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/opencode:v1.15.10@sha256:sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275 \
  run-cell \
    --tui opencode \
    --model qwen/qwen3.5-397b-a17b \
    --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.

opencode — BYO endpoint wiring
# Write .opencode/config.json in the task workdir:
# {
#   "providers": {
#     "codingagentbench": {
#       "type": "openai",
#       "options": {
#         "baseURL": "$YOUR_ENDPOINT",
#         "apiKey": "$YOUR_KEY"
#       },
#       "models": [{ "id": "$YOUR_MODEL_ID", "name": "$YOUR_MODEL_ID" }]
#     }
#   }
# }

opencode run \
  --format json \
  --dangerously-skip-permissions \
  -m codingagentbench/$YOUR_MODEL_ID

# Published cell used model: qwen/qwen3.5-397b-a17b
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui opencode \
  --model qwen/qwen3.5-397b-a17b \
  --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
27edd9f0b5a1418bafdb0f0fcee13a5d task_setup prepare:polyglot/python-two-sum 1 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-opencode-polyglot_python-two-sum-kc29nku0/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
b9458b149a52457ab8e4819b045080b5 ↳ c3fff47989404a369ea8f288e6d262df tool_call applied_plugins 0 ms {"tui":"opencode","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
13fd6c283a204cf691da3632cc29be6f ↳ c3fff47989404a369ea8f288e6d262df container opencode-run:polyglot/python-two-sum 39031 ms {"image":"codingagentbench/opencode:v1.15.10","model":"qwen/qwen3.5-397b-a17b","base_url":"http://172.17.0.1:31415/v1","exit_code":0,"duration_s":39.006,"timed_out":false,"image_digest":"sha256:e56bdb69fb83ea2f8c81c06257f190fd4b5e91077e83d5536f722ff1b9c70275"}
c3fff47989404a369ea8f288e6d262df adapter_run opencode:polyglot/python-two-sum 39032 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
375c11ad493b4d5ea797e3e48082b496 cleanup cleanup:opencode 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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CodingAgentBench: opencode × qwen/qwen3.5-397b-a17b 94%