pi × meta/llama-3.3-70b-instruct
polyglotpolyglot/go-slice-dedup
Per-axis scores
Pass
0.000 Tokens/correct
— Wall
44.5s Blast
0.000 Refusal
— Integrity
1.000 Composite
0.536 Run identity
- cell_id
- expansion-20260616/pi/meta/llama-3.3-70b-instruct/polyglot/go-slice-dedup
- sweep_id
- expansion-20260616
- container_image
- codingagentbench/pi:v0.73.1
- image_digest
- sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6
- model_build_id
- meta/llama-3.3-70b-instruct
- exit_code
- 0
Timing
- started_at
- 2026-06-17T03:20:23.639905Z
- ended_at
- 2026-06-17T03:21:08.174848Z
- duration
- 44.53 s
- tokens
- not recorded
Scorer breakdown
Trace replay
space play/pause · ←/→ step span · ,/. step 100 mst = 0 ms / 44.53 s
span
1af621da5b1548ce9bb0193045787f20task_setupprepare:polyglot/go-slice-dedup0 ms → 12 ms| workdir | /home/andrew/.codingagentbench-scratch/codingagentbench-pi-polyglot_go-slice-dedup-g5rusjqt/workdir |
| task_category | polyglot |
| plugin_stack | [] |
| behavior_mode | factory |
Terminal playback
replay of the run — opencode cells show genuine step timing; others show a span summaryNo 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/pi:v0.73.1·sha256:sha256:272792a5f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6
docker run --rm \
-e CAB_ENDPOINT="$YOUR_ENDPOINT" \
-e CAB_KEY="$YOUR_KEY" \
codingagentbench/pi:v0.73.1@sha256:sha256:272792a5fb41b2290cf7f75c094471fc9bc9933cefdb77c68c5122bbfa2044e6 \
run-cell \
--tui pi \
--model meta/llama-3.3-70b-instruct \
--task polyglot/go-slice-dedupResults 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/$YOUR_MODEL_ID" \ --yes-always --no-stream --no-check-update --no-analytics \ --no-show-model-warnings --no-suggest-shell-commands \ --no-auto-commits --no-pretty \ --message "<task prompt from the cell page>" # Published cell used model: meta/llama-3.3-70b-instruct
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \ --tui pi \ --model meta/llama-3.3-70b-instruct \ --endpoint "$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)
Model calls (0)
Other CLIs on this task
Other models with this CLI
Embed this result
README / Markdown
[](https://codingagentbench.com/cell/pi/meta/llama-3.3-70b-instruct/polyglot/go-slice-dedup) HTML / iframe
<a href="https://codingagentbench.com/cell/pi/meta/llama-3.3-70b-instruct/polyglot/go-slice-dedup"><img src="https://codingagentbench.com/badge/pi/meta/llama-3.3-70b-instruct/polyglot/go-slice-dedup.svg" alt="CodingAgentBench: pi × meta/llama-3.3-70b-instruct 54%" /></a>