Run: 2026-10-20-01M5C6MSQ1KJBVB1AB17MT26TX

Run Details

Duration:
40.3s
Cost:
$0.003405
Provider:
Wafer

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9992% 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 unfolded the birthday-party invitation across the van’s dashboard and smoothed it with a gloved thumb. Outside, balloons bobbed like a signal flare. She tapped the flyer. “Pin the tail on the donkey gives cover.” Bill tightened his fake mustache and checked a stopwatch. “Blindfolds and screaming.” Molly nodded. “The screaming is the problem.” Bill shook his head. “A toddler bit me last time.” Molly grinned. “You were dressed as a piñata.” Bill pointed at his costume. “That was your idea.” He flipped it over and traced the route. “Presents go back after cake. Distraction at two fifteen.” Molly pulled two tennis balls from her pocket. “I’ll juggle.” Bill folded his arms. “You can’t juggle.” Molly shrugged. “I’ll pretend. The clown will help.” Bill sighed and adjusted his cape. “Fine. I’ll pose as a magician.” Molly squinted at him. “Your magic is terrible.” Bill produced a limp balloon. “It’s misdirection. Balloon dog, watch dog, take gifts.” Molly winced. “What if it pops?” Bill started the van. “Then we run.” Molly checked the mirror. “And if the kids chase us?” Bill smiled. “Throw cake. They’ll stop for cake.” Molly laughed. “Brilliant. We’re not thieves, just party planners with poor timing.”
created_at"2026-10-20T08:25:30.662Z" 10/20/2026, 8:25:30 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency342
moderation_latency(null)
generation_time40090
tokens_prompt75
tokens_completion6478
native_tokens_prompt93
native_tokens_completion6781
native_tokens_completion_images(null)
native_tokens_reasoning6476
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)
usage0.00340538
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484730-HxHI5YufLn4DC1zrikZc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484730-PC88xn08Dqdh9LHdNOiv"
upstream_id"chatcmpl-ad2f4618ce99449d90e8e98894f5b7aa"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-ad2f4618ce99449d90e8e98894f5b7aa"
is_byokfalse
latency342
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00340538
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
words199
100.00% Dialogue to Total Word Ratio
Ratio: 49.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal200
wordsDialogue99
99.9992%