qwen-code × nvidia/llama-3.3-nemotron-super-49b-v1

polyglot

polyglot/go-slice-dedup

Per-axis scores

Pass

0.000

Tokens/correct

—

Wall

85.5s

Blast

0.000

Refusal

—

Integrity

1.000

Composite

0.526

Run identity

cell_id: free-20260527/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup
sweep_id: free-20260527
container_image: codingagentbench/qwen-code:v0.16.1
image_digest: sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d
model_build_id: nvidia/llama-3.3-nemotron-super-49b-v1
exit_code: 0

Timing

started_at: 2026-06-16T21:28:00.313533Z
ended_at: 2026-06-16T21:29:25.813097Z
duration: 85.50 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":85499.56400000001,"container_active_ms":85487.50099999999,"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":0.5257575226189676,"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":85499.56400000001,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.505050150793117,"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 / 85.50 s

span de8973d562a3490c8696300925bf77bdtask_setupprepare:polyglot/go-slice-dedup0 ms → 12 ms

workdir/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_go-slice-dedup-0tcmkf9l/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/qwen-code:v0.16.1·sha256:sha256:597f01dba…

docker run — exact image used in this run

# pull the exact image used in this run
docker pull codingagentbench/qwen-code:v0.16.1@sha256:sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/qwen-code:v0.16.1@sha256:sha256:597f01dba22092cfdcfc7a593f2c5a658a9e647bae60709f04aaba33622c961d \
  run-cell \
    --tui qwen-code \
    --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 qwen-code \
  --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
de8973d562a3490c8696300925bf77bd	task_setup	prepare:polyglot/go-slice-dedup	12 ms	`{"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-qwen-code-polyglot_go-slice-dedup-0tcmkf9l/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}`
ceb6eb2a051d40058ec18fb1c39c87ab ↳ 1c4a7ef0177e43f5bfc4b51126719d88	tool_call	applied_plugins	0 ms	`{"tui":"qwen-code","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}`
6210051b2f3b419cadabb8f3865fd0e5 ↳ 1c4a7ef0177e43f5bfc4b51126719d88	container	qwen-code:run	85487 ms	`{"image":"codingagentbench/qwen-code:v0.16.1","command":["-p","Dedup a slice preserving first-seen order; current impl mutates input and produces wrong order","--yolo"],"model":"nvidia/llama-3.3-nemotron-super-49b-v1","exit_code":0,"timed_out":false}`
1c4a7ef0177e43f5bfc4b51126719d88	adapter_run	qwen-code:polyglot/go-slice-dedup	85488 ms	`{"timeout_s":600,"plugin_stack":[],"exit_code":0}`
8486fc04641d400e9d42f90e3c9b639b	cleanup	cleanup:qwen-code	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: qwen-code × nvidia/llama-3.3-nemotron-super-49b-v1 53%](https://codingagentbench.com/badge/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup.svg)](https://codingagentbench.com/cell/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup)

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<a href="https://codingagentbench.com/cell/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup"><img src="https://codingagentbench.com/badge/qwen-code/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-slice-dedup.svg" alt="CodingAgentBench: qwen-code × nvidia/llama-3.3-nemotron-super-49b-v1 53%" /></a>