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CodingAgentBench

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

polyglot
polyglot/go-slice-dedup

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
52.7s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.533

Run identity

cell_id
free-20260527/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/go-slice-dedup
sweep_id
free-20260527
container_image
codingagentbench/goose:v1.35.0
image_digest
sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6
model_build_id
nvidia/nemotron-3-super-120b-a12b
exit_code
0

Timing

started_at
2026-06-16T17:37:32.604345Z
ended_at
2026-06-16T17:38:25.273531Z
duration
52.67 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":"--- FAIL: TestDedup_FirstSeenOrder (0.00s)\n dedup_test.go:12: got [1 2 3 4 5 6 9] want [3 1 4 5 9 2 6]\n--- FAIL: TestDedup_NoMutation (0.00s)\n dedup_test.go:21: input mutated: got [1 1 3 4 5] want [3 1 4 1 5]\n--- FAIL: TestDedup_AlreadyUnique (0.00s)\n dedup_test.go:44: got [1 2 5 9] want [5 1 9 2]\nFAIL\nFAIL\tcodingagentbench/goslicededup\t0.002s\nFAIL\n","stderr_tail":"","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":52669.186,"container_active_ms":44907.387,"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":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/go-slice-dedup"}
composite composite, weights, components, note {"composite":0.5334699433144748,"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":52669.186,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5564662887631657,"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 / 52.67 s
span 2048d6ac0a9b41499106b9960e30e325tool_callapplied_plugins0 ms → 1 ms
tuigoose
count0
applied[]
env_keys[]
extra_args[]
applied_count0
skipped_count0

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/goose:v1.35.0·sha256:sha256:b105cf72a…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/goose:v1.35.0@sha256:sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/goose:v1.35.0@sha256:sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6 \
  run-cell \
    --tui goose \
    --model nvidia/nemotron-3-super-120b-a12b \
    --task polyglot/go-slice-dedup

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 goose \
  --model nvidia/nemotron-3-super-120b-a12b \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/go-slice-dedup
# 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
8200c44bb0914e06bd2133916f2def8f task_setup prepare:polyglot/go-slice-dedup 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-goose-polyglot_go-slice-dedup-g8rory02/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
2048d6ac0a9b41499106b9960e30e325 ↳ 23e5711207e749a08f1c118cd65cc7d4 tool_call applied_plugins 1 ms {"tui":"goose","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
b7411ef9daf245ac9cdfc353da82eb9a ↳ 23e5711207e749a08f1c118cd65cc7d4 tool_call goose:extensions 0 ms {"extensions":[],"count":0}
90ce2fd6b4aa4668bef52b70c34db503 ↳ 23e5711207e749a08f1c118cd65cc7d4 container goose:run 44907 ms {"image":"codingagentbench/goose:v1.35.0","command":["run","--no-session","-t","Dedup a slice preserving first-seen order; current impl mutates input and produces wrong order"],"exit_code":0,"timed_out":false}
23e5711207e749a08f1c118cd65cc7d4 adapter_run goose:polyglot/go-slice-dedup 52669 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
e9b44b3c5b654a97ac61ddf72fd7b643 cleanup cleanup:goose 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: goose × nvidia/nemotron-3-super-120b-a12b 53%](https://codingagentbench.com/badge/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/go-slice-dedup.svg)](https://codingagentbench.com/cell/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/go-slice-dedup)
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<a href="https://codingagentbench.com/cell/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/go-slice-dedup"><img src="https://codingagentbench.com/badge/goose/nvidia/nemotron-3-super-120b-a12b/polyglot/go-slice-dedup.svg" alt="CodingAgentBench: goose × nvidia/nemotron-3-super-120b-a12b 53%" /></a>
CodingAgentBench: goose × nvidia/nemotron-3-super-120b-a12b 53%