Skip to main content
CodingAgentBench

pi × nvidia/llama-3.3-nemotron-super-49b-v1

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
1.5s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.591

Run identity

cell_id
expansion-20260616/pi/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-two-sum
sweep_id
expansion-20260616
container_image
codingagentbench/pi:v0.73.1
image_digest
sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-17T03:33:24.788089Z
ended_at
2026-06-17T03:33:26.324757Z
duration
1.54 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":"um.py\", line 15, in test_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-pi-polyglot_python-two-sum-q7rzwcax/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-pi-polyglot_python-two-sum-q7rzwcax/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-pi-polyglot_python-two-sum-q7rzwcax/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":1536.668,"container_active_ms":1525.147,"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":0.5912322463902077,"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":1536.668,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.9415483092680517,"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 / 1.54 s
span 0b5d6fdc21e9400b8a67f25c76092142task_setupprepare:polyglot/python-two-sum0 ms → 11 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_python-two-sum-q7rzwcax/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/pi:v0.73.1·sha256:sha256:272792a5f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6 \
  run-cell \
    --tui pi \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --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/llama-3.3-nemotron-super-49b-v1
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui pi \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --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
0b5d6fdc21e9400b8a67f25c76092142 task_setup prepare:polyglot/python-two-sum 11 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_python-two-sum-q7rzwcax/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
1e8aa35b51e743198f3fdadce54e55b1 ↳ 53ca8c852fdb4a1c9baef9af3599f454 tool_call applied_plugins 0 ms {"tui":"pi","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
392dec4c6cbf4c1cb67cdfb1dc67c1a7 ↳ 53ca8c852fdb4a1c9baef9af3599f454 container pi:launch 1525 ms {"image":"codingagentbench/pi:v0.73.1","argv":["--print","--no-session","--offline","--provider","nim","--model","nvidia/llama-3.3-nemotron-super-49b-v1","--api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","Find two indices summing to target; broken hash-map walk returns the same index twice"],"timeout_s":600,"exit_code":0,"duration_s":1.5106770700076595,"timed_out":false}
53ca8c852fdb4a1c9baef9af3599f454 adapter_run pi:polyglot/python-two-sum 1525 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
fb64e53a297e4d70be3d040d7660d282 cleanup cleanup:pi 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call token capture is not available for this run.

Other CLIs on this task

Other models with this CLI

Other tasks in this category

Embed this result
README / Markdown
[![CodingAgentBench: pi × nvidia/llama-3.3-nemotron-super-49b-v1 59%](https://codingagentbench.com/badge/pi/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/pi/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-two-sum)
HTML / iframe
<a href="https://codingagentbench.com/cell/pi/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-two-sum"><img src="https://codingagentbench.com/badge/pi/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-two-sum.svg" alt="CodingAgentBench: pi × nvidia/llama-3.3-nemotron-super-49b-v1 59%" /></a>
CodingAgentBench: pi × nvidia/llama-3.3-nemotron-super-49b-v1 59%