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

polyglot

polyglot/go-slice-dedup

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

97.2s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.524

Run identity

cell_id: free-20260527/openhands/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup
sweep_id: free-20260527
container_image: codingagentbench/openhands:1.7.0
image_digest: sha256:7fcaf222644a5cb0afffe018f038d270130b5af3b8af366cd960f2d596a4342c
model_build_id: nvidia/llama-3.3-nemotron-super-49b-v1
exit_code: 0

Timing

started_at: 2026-06-16T19:32:37.716894Z
ended_at: 2026-06-16T19:34:14.875458Z
duration: 97.16 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":97158.564,"container_active_ms":97157.909,"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":0.5238906470151627,"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":97158.564,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.4926043134344184,"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 / 97.16 s

span 721071a98fd84d91af1d17cee08da936task_setupprepare:polyglot/go-slice-dedup0 ms → 1 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-openhands-polyglot_go-slice-dedup-h813n_ir/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/openhands:1.7.0·sha256:sha256:7fcaf2226…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/openhands:1.7.0@sha256:sha256:7fcaf222644a5cb0afffe018f038d270130b5af3b8af366cd960f2d596a4342c

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/openhands:1.7.0@sha256:sha256:7fcaf222644a5cb0afffe018f038d270130b5af3b8af366cd960f2d596a4342c \
  run-cell \
    --tui openhands \
    --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 openhands \
  --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
721071a98fd84d91af1d17cee08da936	task_setup	prepare:polyglot/go-slice-dedup	1 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-openhands-polyglot_go-slice-dedup-h813n_ir/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
d611596bfdec438f96fa639380d23d84 ↳ 3221b1a3fd67468abb3fe65fabba8b44	tool_call	applied_plugins	0 ms	`{"tui":"openhands","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
cdc1121644224fbb9ba10e3f67955f52 ↳ 3221b1a3fd67468abb3fe65fabba8b44	container	openhands:run	97158 ms	`{"image":"codingagentbench/openhands:1.7.0","command":["/app/.venv/bin/python","/opt/openhands_run.py","-t","Dedup a slice preserving first-seen order; current impl mutates input and produces wrong order","--workspace","/workspace"],"deviation":"root+docker.sock; see module docstring","exit_code":0,"timed_out":false,"docker_sock_mounted":true,"read_only":false}`
3221b1a3fd67468abb3fe65fabba8b44	adapter_run	openhands:polyglot/go-slice-dedup	97158 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
19de2cf3f9994a9183a3b01c822be740	cleanup	cleanup:openhands	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: openhands × nvidia/llama-3.3-nemotron-super-49b-v1 52%](https://codingagentbench.com/badge/openhands/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup.svg)](https://codingagentbench.com/cell/openhands/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup)

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<a href="https://codingagentbench.com/cell/openhands/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup"><img src="https://codingagentbench.com/badge/openhands/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup.svg" alt="CodingAgentBench: openhands × nvidia/llama-3.3-nemotron-super-49b-v1 52%" /></a>