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CodingAgentBench

codex × nvidia/nemotron-3-ultra-550b-a55b

polyglot
polyglot/python-two-sum
Provider rate limit (HTTP 429) — the agent exhausted its retries before doing any work. Infra, not capability: other TUIs drive this same model fine.
All scores are reported as recorded. A failed run's zero is an honest measurement.

Per-axis scores

Pass
0.000
Tokens/correct
Wall
26.9s
Blast
0.000
Refusal
Integrity
1.000
Composite
0.546

Run identity

cell_id
newmodels-20260620/codex/nvidia/nemotron-3-ultra-550b-a55b/polyglot/python-two-sum
sweep_id
newmodels-20260620
container_image
codingagentbench/codex:v0.140.0
image_digest
sha256:52116224fbc698acc448343890c4542efcc101a950ef8c8de1eca3e051f228bc
model_build_id
nvidia/nemotron-3-ultra-550b-a55b
exit_code
1

Timing

started_at
2026-06-21T00:27:41.937373Z
ended_at
2026-06-21T00:28:08.843419Z
duration
26.91 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":"","stderr_tail":"l(two_sum([3, 2, 4], 6), (1, 2))\nAssertionError: Tuples differ: (0, 0) != (1, 2)\n\nFirst differing element 0:\n0\n1\n\n- (0, 0)\n+ (1, 2)\n\n======================================================================\nFAIL: test_same_value_two_indices (test_two_sum.TestTwoSum.test_same_value_two_indices)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-s6emejk3/workdir/tests/test_two_sum.py\", line 22, in test_same_value_two_indices\n self.assertEqual(two_sum([3, 3], 6), (0, 1))\nAssertionError: Tuples differ: (0, 0) != (0, 1)\n\nFirst differing element 1:\n0\n1\n\n- (0, 0)\n? ^\n\n+ (0, 1)\n? ^\n\n\n======================================================================\nFAIL: test_target_double_unique_element (test_two_sum.TestTwoSum.test_target_double_unique_element)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-s6emejk3/workdir/tests/test_two_sum.py\", line 26, in test_target_double_unique_element\n self.assertIsNone(two_sum([4], 8))\nAssertionError: (0, 0) is not None\n\n======================================================================\nFAIL: test_target_double_with_other_pair (test_two_sum.TestTwoSum.test_target_double_with_other_pair)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-s6emejk3/workdir/tests/test_two_sum.py\", line 30, in test_target_double_with_other_pair\n self.assertEqual(two_sum([4, 1, 7], 8), (1, 2))\nAssertionError: Tuples differ: (0, 0) != (1, 2)\n\nFirst differing element 0:\n0\n1\n\n- (0, 0)\n+ (1, 2)\n\n----------------------------------------------------------------------\nRan 8 tests in 0.002s\n\nFAILED (failures=4)\n","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":26906.046,"container_active_ms":26881.919,"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/python-two-sum"}
composite composite, weights, components, note {"composite":0.5457183571593598,"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":26906.046,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6381223810623988,"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 / 26.91 s
span 93b4d281f475473591c65d167cd4d751task_setupprepare:polyglot/python-two-sum0 ms23 ms
workdir/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-s6emejk3/workdir
task_categorypolyglot
plugin_stack[]
behavior_modefactory

Watch it get throttled

the agent exhausted its retries against the provider's rate limit (HTTP 429) before doing any work
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/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/nemotron-3-ultra-550b-a55b \
    --task polyglot/python-two-sum

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/nemotron-3-ultra-550b-a55b
Zero-install preview — npx CLI (provisional, not for citation)
npx @codingagentbench/cli check
npx @codingagentbench/cli check \
  --tui codex \
  --model nvidia/nemotron-3-ultra-550b-a55b \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-two-sum
# 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
93b4d281f475473591c65d167cd4d751 task_setup prepare:polyglot/python-two-sum 23 ms {"workdir":"/home/andrew/.codingagentbench-scratch/codingagentbench-codex-polyglot_python-two-sum-s6emejk3/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
20faccabf88349a887dd36e3fc469e78 ↳ a00fa459c0724e51b59beef400b37e37 tool_call applied_plugins 0 ms {"tui":"codex","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
0ac09852ed9146d6afca4c7bb4b29e4d ↳ a00fa459c0724e51b59beef400b37e37 container codex:launch 26882 ms {"image":"codingagentbench/codex:v0.140.0","argv":["exec","--dangerously-bypass-approvals-and-sandbox","--skip-git-repo-check","--ephemeral","--ignore-user-config","-m","nvidia/nemotron-3-ultra-550b-a55b","-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","Find two indices summing to target; broken hash-map walk returns the same index twice"],"timeout_s":600,"exit_code":1,"duration_s":26.856402723002248,"timed_out":false}
a00fa459c0724e51b59beef400b37e37 adapter_run codex:polyglot/python-two-sum 26883 ms {"timeout_s":600,"plugin_stack":[],"exit_code":1}
c0d2af279dbf4d9f9f632bd4b86dfad9 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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CodingAgentBench: codex × nvidia/nemotron-3-ultra-550b-a55b 55%