qwen-code × nvidia/nemotron-3-super-120b-a12b

polyglot

polyglot/python-two-sum

This run timed out — the agent ran but never finished within the harness limit.

adapter timed out after 630s (outer guard)

All scores are reported as recorded. A failed run's zero is an honest measurement.

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

633.6s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.503

Run identity

cell_id: free-20260527/qwen-code/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum
sweep_id: free-20260527
container_image: —
image_digest: —
model_build_id: nvidia/nemotron-3-super-120b-a12b
exit_code: -1

Timing

started_at: 2026-06-16T20:57:38.786125Z
ended_at: 2026-06-16T21:08:12.354779Z
duration: 633.57 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-n70u2cws/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-n70u2cws/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-n70u2cws/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":633568.654,"container_active_ms":632862.5399999999,"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":0.50340748888704,"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":633568.654,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.35604992591360035,"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

speedt = 0 ms / 633.57 s

span 67da26d60c764e42b5ceefca87ab2b23task_setupprepare:polyglot/python-two-sum0 ms → 705 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-n70u2cws/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

docker run — exact image used in this run

# digest unavailable for this cell — image may have changed
docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/qwen-code \
  run-cell \
    --tui qwen-code \
    --model nvidia/nemotron-3-super-120b-a12b \
    --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: nvidia/nemotron-3-super-120b-a12b

Zero-install preview — npx CLI (provisional, not for citation)

npx @codingagentbench/cli check

npx @codingagentbench/cli check \
  --tui qwen-code \
  --model nvidia/nemotron-3-super-120b-a12b \
  --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
67da26d60c764e42b5ceefca87ab2b23	task_setup	prepare:polyglot/python-two-sum	705 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_python-two-sum-n70u2cws/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
8e5880f7b0734ff19e7d3c9359855f64 ↳ 1eb492602d6c493581e32da2483804ba	tool_call	applied_plugins	1 ms	`{"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
146fa8389e9944269d42d768faa2083e ↳ 1eb492602d6c493581e32da2483804ba	container	qwen-code:run	632862 ms	`{"image":"codingagentbench/qwen-code:v0.16.1","command":["-p","Find two indices summing to target; broken hash-map walk returns the same index twice","--yolo"],"model":"nvidia/nemotron-3-super-120b-a12b"}`
1eb492602d6c493581e32da2483804ba	adapter_run	qwen-code:polyglot/python-two-sum	632863 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":-1,"error":"adapter timed out after 630s (outer guard)"}`
409e6e1982c246628db1e90142356474	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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