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

polyglot

polyglot/go-slice-dedup

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

31.3s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.543

Run identity

cell_id: expansion-20260616/copilot/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup
sweep_id: expansion-20260616
container_image: codingagentbench/copilot:v1.0.63
image_digest: sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607
model_build_id: nvidia/llama-3.3-nemotron-super-49b-v1
exit_code: 0

Timing

started_at: 2026-06-17T02:05:16.885879Z
ended_at: 2026-06-17T02:05:48.212299Z
duration: 31.33 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":31326.42,"container_active_ms":31313.841,"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/go-slice-dedup"}`
composite	composite, weights, components, note	{"composite":0.5428087002226255,"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":31326.42,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.618724668150837,"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 / 31.33 s

span ecdf9f41c6de4f59bf30de98fd5f93c4task_setupprepare:polyglot/go-slice-dedup0 ms → 13 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_go-slice-dedup-byq1r6xp/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/copilot:v1.0.63·sha256:sha256:6ad022118…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/copilot:v1.0.63@sha256:sha256:6ad0221187dc5c6de50c8aeec50b0eb8eab269c1a681c79efaaa068741a20607 \
  run-cell \
    --tui copilot \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --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/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 copilot \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --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 (5)

Span	Kind	Name	Duration	Attrs / Error
ecdf9f41c6de4f59bf30de98fd5f93c4	task_setup	prepare:polyglot/go-slice-dedup	13 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-copilot-polyglot_go-slice-dedup-byq1r6xp/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
3383b62e76da427a9f147ce5d02f8085 ↳ 3062051077454aa5a0d756bb1c59ef0c	tool_call	applied_plugins	0 ms	`{"tui":"copilot","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
72865b5b9cd144d9bcb8eee32f6fbeb5 ↳ 3062051077454aa5a0d756bb1c59ef0c	container	copilot:launch	31314 ms	`{"image":"codingagentbench/copilot:v1.0.63","argv":["-p","Dedup a slice preserving first-seen order; current impl mutates input and produces wrong order","--allow-all"],"timeout_s":600,"exit_code":0,"duration_s":31.295842299005017,"timed_out":false}`
3062051077454aa5a0d756bb1c59ef0c	adapter_run	copilot:polyglot/go-slice-dedup	31314 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
9cc86c8b66cb43c2b41a9d0c19eaeabb	cleanup	cleanup:copilot	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: copilot × nvidia/llama-3.3-nemotron-super-49b-v1 54%](https://codingagentbench.com/badge/copilot/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup.svg)](https://codingagentbench.com/cell/copilot/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup)

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