Run: 2026-10-20-01M5C6B16TFSZ13V6KAE9FSJPT

Run Details

Duration:
56.8s
Cost:
$0.003676
Provider:
Wafer

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9997% 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 flattened the stolen party invitation on the hood of a getaway tricycle while Bill wrestled a dinosaur costume over his ski mask. A clown nose squeaked in his pocket. "Bouncy castle perimeter," she said. "Clown security." "And children?" "Hostile witnesses with juice boxes. We enter as Aunt Cheryl and Uncle Barry." "Barry has a moustache." "So will you. Focus." Bill checked a crayon map against the moonlit bouncy castle. The map was mostly frosting, but the exits looked promising. "Cake cutting at two. Parents get emotional." "That's our window. You take soft wrapped things. I take the Lego." "What about the clown's whistle?" "Trip him with the skipping rope. Gently. He's union." Bill practiced a balloon sword. It exploded. "That was a giraffe." "It's a liability. We need subtle." Molly tucked a juice box into Bill's utility belt and tightened his tiny party hat. Molly sighed. She checked her watch. "Subtle," Bill said, "for a man in a ski mask holding a balloon sword." "Semantics. During Happy Birthday, grab presents and waddle out." "Waddle?" "You're wearing a dinosaur costume. Practice your roar." Bill waddled toward the hedge, tripped over his tail, and whispered an apology to a garden gnome.
created_at"2026-10-20T08:20:10.592Z" 10/20/2026, 8:20:10 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency343
moderation_latency(null)
generation_time56729
tokens_prompt75
tokens_completion6742
native_tokens_prompt93
native_tokens_completion7322
native_tokens_completion_images(null)
native_tokens_reasoning7013
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)
usage0.00367588
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484410-6HqQTALvKUyKd3CH8Pxb"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484410-tO05prV3Kf5r2vAlo59R"
upstream_id"chatcmpl-3979b81d6ce143539b3ff73681720644"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-3979b81d6ce143539b3ff73681720644"
is_byokfalse
latency343
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00367588
cache_discount(null)
upstream_inference_cost0
provider_name"Wafer"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal200
wordsDialogue101
99.9997%