Run: 2026-03-18-01KM08Z9A68RENNHT972HQZ050

Run Details

Duration:
24.0s
Cost:
$0.003717
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9995% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly and Bill crouched behind a curtain of streamers in the living room, where music bounced off every wall. Beyond them, kids chattered and clutched colorful party favors. Molly checked her waistband kit, which smelled faintly of glue and audacity, then nudged Bill toward the gift table. He tapped two bows into alignment like he was defusing a bomb made of satin. The magician’s cape swished closer, summoning cheers. Molly watched parents drift toward the snack bowl, synchronized, like traffic lights for adults. When the hat cover dropped, she raised a hand. Bill cracked his knuckles and mouthed his joke. “Bill, hush—party guests are sleeping.” “No stealing yet, Molly. I’m scouting the gift table.” “Scout faster. Those presents are practically singing.” “Singing? Great. We’ll silence them with loot.” “Remember the plan: swap tags, grab boxes, escape laughing.” “Swap tags with my genius? You have the gloves?” “Gloves, gumless confetti, and a decoy cat sticker.” “If a parent asks, we’re just 'present organizers.'” “Say it with confidence. Children love confidence.” “Okay—when the magician pulls his hat, we strike.” “Strike softly. Nobody wants a squeaky crime.” “Too late, my knee squeaks.” “Molly, breathe. Tonight we steal joy, and leave toothbrushes for them.”
created_at"2026-03-18T10:48:27.218Z" 3/18/2026, 10:48:27 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency23247
moderation_latency(null)
generation_time23720
tokens_prompt77
tokens_completion1032
native_tokens_prompt66
native_tokens_completion2963
native_tokens_completion_images0
native_tokens_reasoning2666
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.00371695
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_08565cedfe7cca830169ba82fb464081909de1bc4321c4255b"
is_byokfalse
latency200
model_permaslug"openai/gpt-5.4-nano-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830907-VdwzgGqCnjfyzYWUJHoe"
upstream_id"resp_08565cedfe7cca830169ba82fb464081909de1bc4321c4255b"
total_cost0.00371695
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
100.00% Dialogue to Total Word Ratio
Ratio: 50.25%, Deviation: 0.25%
neededCleanfalse
wordsTotal201
wordsDialogue101
99.9995%