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CodingAgentBench

goose × nvidia/nemotron-3-ultra-550b-a55b

polyglot
polyglot/go-slice-dedup

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
66.1s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.530

Run identity

cell_id
newmodels-20260620/goose/nvidia/nemotron-3-ultra-550b-a55b/polyglot/go-slice-dedup
sweep_id
newmodels-20260620
container_image
codingagentbench/goose:v1.35.0
image_digest
sha256:b105cf72a2cb923875ba8896a68c835b29025d9e24e7fb39ca95856ec105a3a6
model_build_id
nvidia/nemotron-3-ultra-550b-a55b
exit_code
0

Timing

started_at
2026-06-20T20:56:20.185332Z
ended_at
2026-06-20T20:57:26.296075Z
duration
66.11 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\t0.004s\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":66110.743,"container_active_ms":66109.954,"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":0.5297259145692851,"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":66110.743,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.5315060971285677,"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 / 66.11 s
span 10964162b64d47ae9b676634a0daa1aaadapter_rungoose:polyglot/go-slice-dedup0 ms → 66.11 s
timeout_s600
plugin_stack[]
exit_code0

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-ultra-550b-a55b \
    --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-ultra-550b-a55b
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui goose \
  --model nvidia/nemotron-3-ultra-550b-a55b \
  --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
9892f94c29e74ce4a261a19d50d06426 task_setup prepare:polyglot/go-slice-dedup 0 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-goose-polyglot_go-slice-dedup-cf2hw03x/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
6ae6a0f91ca54be6ac758056dea2b0b1 ↳ 10964162b64d47ae9b676634a0daa1aa tool_call applied_plugins 0 ms {"tui":"goose","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
bb8b7d87cb1b416b8ac2464658951927 ↳ 10964162b64d47ae9b676634a0daa1aa tool_call goose:extensions 0 ms {"extensions":[],"count":0}
39f9acadb2b7420db82f9c2ed8308293 ↳ 10964162b64d47ae9b676634a0daa1aa container goose:run 66110 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}
10964162b64d47ae9b676634a0daa1aa adapter_run goose:polyglot/go-slice-dedup 66111 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
b391b26f0337449883f8a06b7bae2f0f 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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README / Markdown
[![CodingAgentBench: goose × nvidia/nemotron-3-ultra-550b-a55b 53%](https://codingagentbench.com/badge/goose/nvidia/nemotron-3-ultra-550b-a55b/polyglot/go-slice-dedup.svg)](https://codingagentbench.com/cell/goose/nvidia/nemotron-3-ultra-550b-a55b/polyglot/go-slice-dedup)
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<a href="https://codingagentbench.com/cell/goose/nvidia/nemotron-3-ultra-550b-a55b/polyglot/go-slice-dedup"><img src="https://codingagentbench.com/badge/goose/nvidia/nemotron-3-ultra-550b-a55b/polyglot/go-slice-dedup.svg" alt="CodingAgentBench: goose × nvidia/nemotron-3-ultra-550b-a55b 53%" /></a>
CodingAgentBench: goose × nvidia/nemotron-3-ultra-550b-a55b 53%