Run: 2026-05-10-01KR927XN21XMAR1QBBG5R7KFY

Run Details

Duration:
1m 2s
Cost:
$0.004595
Provider:
NextBit

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
99.79% Dialogue to Total Word Ratio (details)
93.0841% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Target is the Henderson residence. High-value loot. LEGOs, drones, maybe a rare holographic Pokémon card," Molly hissed, tapping the crayon-drawn map. "Molly, it’s a toddler’s birthday," Bill groaned, leaning back in the getaway van. "The security is basically a bouncy castle and a very distracted nanny." "Don't underestimate the perimeter! There's a clown, Bill." "Clowns aren't sentries. They're just sad men in face paint." "They're unpredictable! One minute it's balloon animals, the next, it's smoke bombs and glitter. We strike during the cake cutting. When the sugar high hits, the guards, the parents, will be totally distracted." "And the exit strategy?" "We blend in. Party hats, juice boxes. We're Uncle Dave and his weird cousin." "I don't look like a Dave." "Tuck in your shirt and act like you enjoy lukewarm pizza. Grab the loot bags!" "Do we get cake?" "Focus, Bill!" "Can I at least wear the propeller hat?" "Only if it covers your shame." "Fine, but I'm stealing a juice box for the road." "Just get the presents!" "Is there a gift registry?" "Don't be ridiculous!" "What if they have a bouncy castle mission?" "Just jump, Bill!"
created_at"2026-05-10T13:46:47.338Z" 5/10/2026, 1:46:47 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency791
moderation_latency(null)
generation_time61949
tokens_prompt77
tokens_completion9551
native_tokens_prompt82
native_tokens_completion11458
native_tokens_completion_images(null)
native_tokens_reasoning9229
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)
usage0.0045955
router(null)
provider_responses
0
endpoint_id"e22ce918-7adb-4e4f-b2e2-c6c5b3066b69"
id"chatcmpl-85b3a437f868a53c"
is_byokfalse
latency754
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"NextBit"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778420807-tIt7isPK9QjSzSbhGP3g"
session_id(null)
api_type"completions"
id"gen-1778420807-Oj3l2JEP6MrJTUli2V20"
upstream_id"chatcmpl-85b3a437f868a53c"
total_cost0.0045955
cache_discount(null)
upstream_inference_cost0
provider_name"NextBit"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
99.79% Dialogue to Total Word Ratio
Ratio: 92.15%, Deviation: 2.15%
neededCleanfalse
wordsTotal191
wordsDialogue176
93.0841%