Run: 2026-05-10-01KR8Z2ZN9Y560BJZ5ADJ6HB1B

Run Details

Duration:
7.7s
Cost:
$0.000108
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
35.00% Matches word count (details)
92.17% Dialogue to Total Word Ratio (details)
63.5853% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 squinted through the high-powered binoculars, her brow furrowed at the sheer amount of primary-colored chaos unfolding in the backyard. A battalion of toddlers, fueled by pure glucose and questionable parenting, swarmed the bouncy castle like tiny, sticky locusts. Beside her, Bill adjusted his tactical turtleneck, which was unfortunately too tight and made him look like a very nervous grape. He clutched a blueprint of the suburban bungalow as if it were the Magna Carta. The target was clear: the mountain of brightly wrapped boxes sitting precariously near the snack table. This wasn't just a heist; it was an extraction of high-value plastic goods. "Target confirmed," Molly whispered, her voice taut with professional intensity. "The glitter-bomb zone is heavily guarded by a three-year-old in a dinosaur suit." "Do we have the extraction vehicle ready?" Bill asked, sweating profusely. "The minivan is idling," she replied. They checked their gear one last time, ensuring their suction cups and silent step-boots were primed for the mission. One wrong move and they’d be neutralized by a sudden tantrum or, worse, a handful of sticky finger paints.
created_at"2026-05-10T12:51:39.825Z" 5/10/2026, 12:51:39 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5368
moderation_latency(null)
generation_time7057
tokens_prompt77
tokens_completion299
native_tokens_prompt79
native_tokens_completion246
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)
usage0.00010788
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-b33e57c3e799a9d8"
is_byokfalse
latency5366
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778417499-hMocB697cRj2FfnAj36m"
session_id(null)
api_type"completions"
id"gen-1778417499-ba9g1f0TVJ8hCHUQoCrJ"
upstream_id"chatcmpl-b33e57c3e799a9d8"
total_cost0.00010788
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
35.00% Matches word count n/a
neededCleanfalse
words182
92.17% Dialogue to Total Word Ratio
Ratio: 15.34%, Deviation: 5.34%
neededCleanfalse
wordsTotal189
wordsDialogue29
63.5853%