Run: 2026-10-20-01M5C6DJ8PVW15X3SKEZM04C38

Run Details

Duration:
40.4s
Cost:
$0.002582
Provider:
Wafer

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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 a birthday invitation beside the ketchup and drew a crown over the piñata. She tapped the clown’s exit time, the bouncy castle, and the gift table. Bill stirred his coffee with the enthusiasm of a man reviewing a prison menu. Outside, a van idled with party hats taped over its plates. Molly outlined the cake trolley route while Bill checked the rear door and the cheerful clown waiting by the dumpster. He sighed, flipped his notepad shut, and glanced at the invitation. A balloon squeaked against the window, and Bill flinched as the diner clock ticked toward two. “Clown exits at two. Bouncy castle blocks the back.” “We’re robbing toddlers now?” “Presents by the piñata. Party hats, goody bags, out.” “You’re six feet tall and allergic to balloons.” “I’ll be the magician’s assistant. You’re the pony.” “Absolutely not. I have a reputation.” “Your reputation hides in a laundry basket.” “Fair. But the pony smells.” “Then we use the cake trolley.” “Children love cake trolleys.” “We load presents underneath, roll out during ‘Happy Birthday,’ and nobody suspects a thing.” “What about the clown?” “Our extremely reliable inside man.” “The clown?” “He owes me big time.” “Of course he does.”
created_at"2026-10-20T08:21:33.598Z" 10/20/2026, 8:21:33 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency362
moderation_latency(null)
generation_time40346
tokens_prompt75
tokens_completion4757
native_tokens_prompt93
native_tokens_completion5135
native_tokens_completion_images(null)
native_tokens_reasoning4832
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)
usage0.00258238
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484493-UVlDWd11KWN8NPfoOPQ1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484493-09SQ1MDQGB43r3FoPcbG"
upstream_id"chatcmpl-1a5aa2804bb14b37bc9c1b3597502992"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-1a5aa2804bb14b37bc9c1b3597502992"
is_byokfalse
latency362
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00258238
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%