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Run: 2026-10-20-01M5C6J7KEBMWRREJA5QZ09MED
Run Details
Model:
DeepSeek V4.1 Flash 1017 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
1m 15s
Cost:
$0.004125
Provider:
Wafer
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
94.52%
Dialogue to Total Word Ratio
(details)
97.1300%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Messages
Meta
AI
Molly flattened Timothy’s birthday invitation against the van’s dashboard and studied it like a bank floor plan. The invitation was sticky with juice and smelled faintly of cake, which made the whole operation feel less like a felony and more like a dare. The community center had two hundred guests, one bouncy castle, and a gift table positioned behind a clown with a horn. Bill lowered the binoculars and stared at the front door, where a banner promised cake, presents, and a party photographer with the posture of a security guard. “Two hundred guests, one bouncy castle, and a gift table behind a clown,” Molly said. “The clown is the security system,” Bill said. “He has a horn.” Molly pulled the lanyards from the glove box with a flourish that suggested she had practiced in the mirror. “We go in as face painters.” Bill examined the badge. “I paint like a raccoon with a grudge.” “You paint a blob and call it modern.” Bill checked the building again. The side door was chained, the windows were covered in cartoon animals, and a laundry cart sat near the gift table like a gift from the heist gods. Molly had already measured the distance from the laundry cart to the van in party-hat lengths; Bill had already decided he did not like the number. “The side door is chained.” “Then we use the laundry cart.” “That cart belongs to the center.” “Tonight it belongs to us.” Bill rubbed his forehead. “What about the children?” “They’ll be watching the magician.” “I’m the magician?” “You’re the distraction.” Bill slumped in the passenger seat. “I hate this plan.” “You’ll love the pigeon.” Molly unfolded a crayon sketch of the party room. The presents were gift cards, wireless headphones, and one robotic dinosaur with an expensive gleam. Bill’s crayon sketch included a dotted escape route, two stick-figure parents, and a stick-figure clown with an alarming number of muscles. “The presents are gift cards and a robotic dinosaur.” “And the parents?” “Nobody’s heart gets broken. Joy is being redistributed.” Bill tapped the sketch. He said it in the tone of a man who had once been chased out of a petting zoo. “If a child asks for a dinosaur, I’m leaving.” “Paint a blob.” “And my name?” “You’re Sir Brushalot. My name is Sparkle.” Bill put on the lanyard like a man accepting a prison sentence. The lanyard clip bit his collar, and the badge photo made him look like a disappointed librarian. “At two fifteen, back of the van.” “And the clown?” “He takes a bow.” Bill sighed. “This is the best plan we’ve had all year.” Molly started the engine. The van’s glove box rattled, the pigeon in the back seat cooed, and the party banner flapped in the wind. Molly backed out of the lot, checked her watch, and practiced her Sparkle smile until it looked almost legal. Somewhere inside, Timothy’s seventh birthday was about to become a logistics problem.
created_at
"2026-10-20T08:24:06.516Z"
10/20/2026, 8:24:06 AM
model
"deepseek/deepseek-v4.1-flash-20261017"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
371
moderation_latency
(null)
generation_time
74652
tokens_prompt
75
tokens_completion
7344
native_tokens_prompt
93
native_tokens_completion
8221
native_tokens_completion_images
(null)
native_tokens_reasoning
7499
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.00412538
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1792484646-VAlROY5z7lPvxKATpOXq"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1792484646-liJkE8wzAqnB19IxdpK4"
upstream_id
"chatcmpl-b04cc34057a841b7824e46d888697421"
provider_responses
0
endpoint_id
"66d4851d-7738-4948-9d40-2ab6dc54f895"
id
"chatcmpl-b04cc34057a841b7824e46d888697421"
is_byok
false
latency
371
model_permaslug
"deepseek/deepseek-v4.1-flash-20261017"
provider_name
"Wafer"
status
200
total_cost
0.00412538
cache_discount
(null)
upstream_inference_cost
0
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
99.74%
Matches word count
n/a
neededClean
false
words
496
94.52%
Dialogue to Total Word Ratio
Ratio: 31.06%, Deviation: 1.06%
neededClean
false
wordsTotal
499
wordsDialogue
155
97.1300%