Skip to main content
CodingAgentBench

aider × nvidia/nemotron-3-super-120b-a12b

polyglot
polyglot/python-two-sum

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
40.5s
Blast
0.857
Refusal
—
Integrity
1.000
Composite
0.852

Run identity

cell_id
free-20260527/aider/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum#run1
sweep_id
free-20260527
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
nvidia/nemotron-3-super-120b-a12b
exit_code
0

Timing

started_at
2026-05-29T13:16:17.210542Z
ended_at
2026-05-29T13:16:57.681190Z
duration
40.47 s
prompt_tokens
1,100
completion_tokens
339
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 0.001s\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":40470.647999999994,"container_active_ms":40450.411,"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":0.8523635624760382,"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":40470.647999999994,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5871856546021588,"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 / 40.47 s
span 2a3db3961c1749cea90779b1fa73af85task_setupprepare:polyglot/python-two-sum0 ms → 19 ms
workdir/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-nzg1v5si/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 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 aider \
  --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 (6)

Span Kind Name Duration Attrs / Error
2a3db3961c1749cea90779b1fa73af85 task_setup prepare:polyglot/python-two-sum 19 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-nzg1v5si/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
4059b15b077a4fc0881a6fc85636c045 ↳ fbc5abead67240d48365181525d32eed task_setup aider:git-init-marker 0 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-two-sum-nzg1v5si/workdir","git_dir_exists":true}
ba4d56e0b8d049b5a472168a1800c28b ↳ fbc5abead67240d48365181525d32eed tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
0776de6d81dc41e3a63d56e10a9cca53 ↳ fbc5abead67240d48365181525d32eed container aider:launch 40450 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/nvidia/nemotron-3-super-120b-a12b","--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":40.42374053999811,"timed_out":false}
fbc5abead67240d48365181525d32eed adapter_run aider:polyglot/python-two-sum 40450 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
bff61ba4526b40f5a4444d6b2d2572db 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: 1,100 prompt + 339 completion tokens.

Other CLIs on this task

Other models with this CLI

Other tasks in this category

Embed this result
README / Markdown
[![CodingAgentBench: aider × nvidia/nemotron-3-super-120b-a12b 85%](https://codingagentbench.com/badge/aider/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum.svg)](https://codingagentbench.com/cell/aider/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum)
HTML / iframe
<a href="https://codingagentbench.com/cell/aider/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum"><img src="https://codingagentbench.com/badge/aider/nvidia/nemotron-3-super-120b-a12b/polyglot/python-two-sum.svg" alt="CodingAgentBench: aider × nvidia/nemotron-3-super-120b-a12b 85%" /></a>
CodingAgentBench: aider × nvidia/nemotron-3-super-120b-a12b 85%