Run: 2026-05-10-01KR8YZ4C80B0J3K5Y3PQRF02J

Run Details

Duration:
4.1s
Cost:
$0.000088
Provider:
Cloudflare

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.01% Dialogue to Total Word Ratio (details)
45.2446% 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 adjusted her tactical tutu, glaring at the blueprints spread across the sticky kitchen table. "We strike during the bouncy castle climax, Bill." "The bouncy castle?" Bill squeaked, adjusting his oversized clown nose. "That sounds structurally unsound for a professional heist." "It is the perfect diversion," Molly insisted, pointing to a cluster of brightly wrapped boxes. "While the toddlers are distracted by the sugar crash, we swoop in and bag the loot." "But what about the birthday boy?" Bill whispered, eyeing a suspicious pile of party hats. "He has the eyes of a hawk. A tiny, sticky-fingered hawk." "Focus, Bill! We aren't here for cake. We are here for the high-end electronics hidden in those teddy bears." "I thought we were stealing the LEGO sets," Bill muttered, checking his utility belt filled with juice boxes. "LEGOs are too heavy for a quick getaway," Molly snapped. "Check your perimeter. Are the balloon animals deployed?" "Ready and waiting," Bill replied, saluting with a cocktail sausage. "But if a clown catches us, I'm blaming your tactical tutu." "Just grab the gift bags and stay low," Molly commanded. "Operation Cupcake is officially a go."
created_at"2026-05-10T12:49:33.586Z" 5/10/2026, 12:49:33 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency209
moderation_latency(null)
generation_time3799
tokens_prompt77
tokens_completion309
native_tokens_prompt79
native_tokens_completion266
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.0000877
router(null)
provider_responses
0
endpoint_id"e2a16fa6-1f65-413e-9ecb-93901089ddb1"
id"id-1778417373743"
is_byokfalse
latency153
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"Cloudflare"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778417373-4ipxXbAU467GvQxPIKdR"
session_id(null)
api_type"completions"
id"gen-1778417373-LNARxMJzsmh5CHqYEUaP"
upstream_id"id-1778417373743"
total_cost0.0000877
cache_discount(null)
upstream_inference_cost0
provider_name"Cloudflare"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words190
0.01% Dialogue to Total Word Ratio
Ratio: 67.71%, Deviation: 17.71%
neededCleanfalse
wordsTotal192
wordsDialogue130
45.2446%