Skip to main content
CodingAgentBench

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

polyglot
polyglot/ts-type-narrowing

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
1.8s
Blast
1.000
Refusal
—
Integrity
1.000
Composite
0.490

Run identity

cell_id
expansion-20260616/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/ts-type-narrowing
sweep_id
expansion-20260616
container_image
codingagentbench/codex:v0.140.0
image_digest
sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-06-17T01:15:57.933268Z
ended_at
2026-06-17T01:15:59.745758Z
duration
1.81 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":2,"timed_out":false,"stdout_tail":"tsconfig.json(5,25): error TS5107: Option 'moduleResolution=node10' is deprecated and will stop functioning in TypeScript 7.0. Specify compilerOption '\"ignoreDeprecations\": \"6.0\"' to silence this error.\n Visit https://aka.ms/ts6 for migration information.\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":1812.49,"container_active_ms":1798.609,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":1,"added":["build/src/shape.js","build/tests/shape.test.js"],"removed":[],"modified":[],"unexpected_changes":["build/src/shape.js","build/tests/shape.test.js"],"expected_changes":[],"total_changes":2,"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/ts-type-narrowing"}
composite composite, weights, components, note {"composite":0.48988081824123814,"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":1,"tokens_per_correct_task":0,"wall_clock_ms":1812.49,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.9325387882749211,"clean_blast":0,"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 / 1.81 s
span e221645d60314ff4b0629226ec7aec5etask_setupprepare:polyglot/ts-type-narrowing0 ms → 13 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_ts-type-narrowing-t53ykw24/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Terminal playback

replay of the run — opencode cells show genuine step timing; others show a span summary

Run it yourself

Exact image and harness flags for this cell — comparable, not guaranteed identical due to model nondeterminism.

Imagecodingagentbench/codex:v0.140.0·sha256:sha256:52116224f…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/codex:v0.140.0@sha256:sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc \
  run-cell \
    --tui codex \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/ts-type-narrowing

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 codex \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/ts-type-narrowing
# 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
e221645d60314ff4b0629226ec7aec5e task_setup prepare:polyglot/ts-type-narrowing 13 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_ts-type-narrowing-t53ykw24/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
9c69653f42744f4b8be774f579ebccb6 ↳ 162243cad6624460931e3d0f6833e8dd tool_call applied_plugins 0 ms {"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
15afa9ea3027487592e8fdb5c5adfa02 ↳ 162243cad6624460931e3d0f6833e8dd container codex:launch 1798 ms {"image":"codingagentbench/codex:v0.140.0","argv":["exec","--dangerously-bypass-approvals-and-sandbox","--skip-git-repo-check","--ephemeral","--ignore-user-config","-m","nvidia/llama-3.3-nemotron-super-49b-v1","-c","model_providers.nim={ name = 'nim', base_url = 'http://172.17.0.1:31415/v1', wire_api = 'responses', env_key = 'OPENAI_API_KEY' }","-c","model_provider=\"nim\"","--disable","multi_agent","--disable","browser_use","--disable","browser_use_external","--disable","computer_use","--disable","apps","Discriminated union not narrowed properly; switch falls through to default and returns wrong result"],"timeout_s":600,"exit_code":0,"duration_s":1.7831636409973726,"timed_out":false}
162243cad6624460931e3d0f6833e8dd adapter_run codex:polyglot/ts-type-narrowing 1799 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
1e15e60cb4774956a293f462dc068842 cleanup cleanup:codex 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call token capture is not available for this run.

Other CLIs on this task

Other models with this CLI

Other tasks in this category

Embed this result
README / Markdown
[![CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 49%](https://codingagentbench.com/badge/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/ts-type-narrowing.svg)](https://codingagentbench.com/cell/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/ts-type-narrowing)
HTML / iframe
<a href="https://codingagentbench.com/cell/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/ts-type-narrowing"><img src="https://codingagentbench.com/badge/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/ts-type-narrowing.svg" alt="CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 49%" /></a>
CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 49%