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CodingAgentBench

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

polyglot
polyglot/go-json-parser-fix

Per-axis scores

Pass
0.000
Tokens/correct
—
Wall
1.8s
Blast
0.000
Refusal
—
Integrity
1.000
Composite
0.590

Run identity

cell_id
expansion-20260616/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-json-parser-fix
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
2026-06-17T00:51:15.025833Z
ended_at
2026-06-17T00:51:16.854135Z
duration
1.83 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: TestMarshal_IncludesZeroCount (0.00s)\n parser_test.go:26: zero count dropped: got map[name:x] want map[count:0 name:x]\n--- FAIL: TestMarshal_EmptyName (0.00s)\n parser_test.go:42: got map[name:] want map[count:0 name:]\nFAIL\nFAIL\tcodingagentbench/gojsonparser\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":1828.3020000000001,"container_active_ms":1811.68,"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-json-parser-fix"}
composite composite, weights, components, note {"composite":0.5898050775951644,"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":1828.3020000000001,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.9320338506344301,"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
t = 0 ms / 1.83 s
span e16874dc79a84b42b54870d6f963f7b0task_setupprepare:polyglot/go-json-parser-fix0 ms → 17 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_go-json-parser-fix-luxyu1g6/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/go-json-parser-fix

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/go-json-parser-fix
# 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
e16874dc79a84b42b54870d6f963f7b0 task_setup prepare:polyglot/go-json-parser-fix 17 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_go-json-parser-fix-luxyu1g6/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
bf550b408c4a4edfa790b00cea7752b3 ↳ 7b845b065c004758b19028cc8de7c1ca tool_call applied_plugins 0 ms {"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
0756400d5f6e4567b577de690b8715db ↳ 7b845b065c004758b19028cc8de7c1ca container codex:launch 1811 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","JSON parser drops zero-valued fields because of `omitempty` on a required field"],"timeout_s":600,"exit_code":0,"duration_s":1.796723776991712,"timed_out":false}
7b845b065c004758b19028cc8de7c1ca adapter_run codex:polyglot/go-json-parser-fix 1812 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
9a39205066ee4aa8bf604b4f6ab67b39 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.

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README / Markdown
[![CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 59%](https://codingagentbench.com/badge/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-json-parser-fix.svg)](https://codingagentbench.com/cell/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-json-parser-fix)
HTML / iframe
<a href="https://codingagentbench.com/cell/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-json-parser-fix"><img src="https://codingagentbench.com/badge/codex/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/go-json-parser-fix.svg" alt="CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 59%" /></a>
CodingAgentBench: codex × nvidia/llama-3.3-nemotron-super-49b-v1 59%