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CodingAgentBench

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

polyglot
polyglot/python-reverse-string

Per-axis scores

Pass
1.000
Tokens/correct
—
Wall
35.8s
Blast
0.909
Refusal
—
Integrity
1.000
Composite
0.849

Run identity

cell_id
free-20260527/aider/nvidia/llama-3.3-nemotron-super-49b-v1/polyglot/python-reverse-string#run1
sweep_id
free-20260527
container_image
codingagentbench/aider:v0.86.0
image_digest
sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1
model_build_id
nvidia/llama-3.3-nemotron-super-49b-v1
exit_code
0

Timing

started_at
2026-05-29T12:49:17.388566Z
ended_at
2026-05-29T12:49:53.197375Z
duration
35.81 s
prompt_tokens
1,100
completion_tokens
175
tokens source
TUI stdout

Scorer breakdown

Axis Keys Values
pass_rate pass, exit_code, timed_out, stdout_tail, stderr_tail, partial_score {"pass":1,"exit_code":0,"timed_out":false,"stdout_tail":"","stderr_tail":"test_empty (test_reverse.TestReverse.test_empty) ... ok\ntest_palindrome_stays (test_reverse.TestReverse.test_palindrome_stays) ... ok\ntest_single_char (test_reverse.TestReverse.test_single_char) ... ok\ntest_unicode (test_reverse.TestReverse.test_unicode) ... ok\ntest_with_spaces (test_reverse.TestReverse.test_with_spaces) ... ok\ntest_word (test_reverse.TestReverse.test_word) ... ok\n\n----------------------------------------------------------------------\nRan 6 tests in 0.000s\n\nOK\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":1}
latency wall_clock_ms, container_active_ms, model_call_ms {"wall_clock_ms":35808.808999999994,"container_active_ms":35652.473999999995,"model_call_ms":0}
blast_radius blast_radius, added, removed, modified, unexpected_changes, expected_changes, total_changes, extra_git_dir {"blast_radius":0.9090909090909091,"added":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json",".cache/huggingface/hub/.locks/models--Xenova--llama-3-tokenizer/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc.lock",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/blobs/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/refs/main",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/snapshots/72bff9ee09897a16b3b4b2b9995fecb0bfa7dbe6/tokenizer.json"],"removed":[],"modified":["src/reverse.py"],"unexpected_changes":[".aider.chat.history.md",".aider.input.history",".aider.tags.cache.v4/cache.db",".aider/analytics.json",".aider/caches/model_prices_and_context_window.json",".aider/installs.json",".cache/huggingface/hub/.locks/models--Xenova--llama-3-tokenizer/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc.lock",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/blobs/94eacd0897072dcd7b84d1f6ff3c3f6d1933a8cc",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/refs/main",".cache/huggingface/hub/models--Xenova--llama-3-tokenizer/snapshots/72bff9ee09897a16b3b4b2b9995fecb0bfa7dbe6/tokenizer.json"],"expected_changes":["src/reverse.py"],"total_changes":11,"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-reverse-string"}
composite composite, weights, components, note {"composite":0.8494007259191734,"weights":{"pass_rate":0.4,"integrity":0.2,"cost":0.15,"latency":0.15,"blast_radius":0.1},"components":{"pass_rate":1,"integrity":1,"blast_radius":0.9090909090909091,"tokens_per_correct_task":0,"wall_clock_ms":35808.808999999994,"expected_refusal":false,"refusal_produced":false,"cost_efficiency":1,"latency_efficiency":0.6020654455217614,"clean_blast":0.09090909090909094,"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 / 35.81 s
span 0ff87ccbc33b4ca7ac530723444d8c7dtask_setupprepare:polyglot/python-reverse-string0 ms → 155 ms
workdir/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-reverse-string-wuhdohta/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/aider:v0.86.0·sha256:sha256:f2cd27890…
docker run — exact image used in this run
# pull the exact image used in this run
docker pull codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1

docker run --rm \
  -e CAB_ENDPOINT="$YOUR_ENDPOINT" \
  -e CAB_KEY="$YOUR_KEY" \
  codingagentbench/aider:v0.86.0@sha256:sha256:f2cd27890475900f9cb617b1c7a6328989a48e8168e7280ac2247a5d2d26d8a1 \
  run-cell \
    --tui aider \
    --model nvidia/llama-3.3-nemotron-super-49b-v1 \
    --task polyglot/python-reverse-string

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 aider \
  --model nvidia/llama-3.3-nemotron-super-49b-v1 \
  --endpoint "$YOUR_ENDPOINT" \
  --key "$YOUR_KEY" \
  --task polyglot/python-reverse-string
# provisional score — not for citation

Provisional score — not for citation. Use the Docker or Harness CLI path for citable results.

Trace spans (6)

Span Kind Name Duration Attrs / Error
0ff87ccbc33b4ca7ac530723444d8c7d task_setup prepare:polyglot/python-reverse-string 155 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-reverse-string-wuhdohta/workdir","task_category":"polyglot","plugin_stack":[],"behavior_mode":"factory"}
2bb7e379a30f402d9c550aa7d7136268 ↳ 697f612585fb4facb8725236d8015c85 task_setup aider:git-init-marker 0 ms {"workdir":"/tmp/codingagentbench-scratch/codingagentbench-aider-polyglot_python-reverse-string-wuhdohta/workdir","git_dir_exists":true}
36bb31bfb6f54cf9a6ad7c35bf73672f ↳ 697f612585fb4facb8725236d8015c85 tool_call applied_plugins 0 ms {"tui":"aider","count":0,"applied":[],"env_keys":[],"extra_args":[],"applied_count":0,"skipped_count":0}
dbb14cb7b22d4f219b9478b13e23978b ↳ 697f612585fb4facb8725236d8015c85 container aider:launch 35653 ms {"image":"codingagentbench/aider:v0.86.0","argv":["--yes-always","--no-stream","--no-check-update","--no-analytics","--no-show-model-warnings","--no-suggest-shell-commands","--no-auto-commits","--no-pretty","--openai-api-base","http://172.17.0.1:31415/v1","--openai-api-key","sk-ijYE3GGIl2pTqBtwcCcuaIsZzYIIFrIWLMG3qmOK","--model","openai/nvidia/llama-3.3-nemotron-super-49b-v1","--subtree-only","--message","Reverse a string in Python; broken implementation has a wrong slice"],"timeout_s":600,"exit_code":0,"duration_s":35.49878794099641,"timed_out":false}
697f612585fb4facb8725236d8015c85 adapter_run aider:polyglot/python-reverse-string 35654 ms {"timeout_s":600,"plugin_stack":[],"exit_code":0}
8248d51c80af4b3795a7857962dd47f4 cleanup cleanup:aider 0 ms {}

Model calls (0)

# Timestamp Request hash Prompt Completion Latency Finish
Per-call records not captured for this run. TUI-reported session totals: 1,100 prompt + 175 completion tokens.

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Other models with this CLI

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CodingAgentBench: aider × nvidia/llama-3.3-nemotron-super-49b-v1 85%