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Run: 2026-09-03-01M1KCN77MSB4Y2W5WK6KN4AZ0
Run Details
Model:
DeepSeek V4 Flash 0731 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
9.4s
Cost:
$0.000365
Provider:
StreamLake
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.3562%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
Messages
Meta
AI
Molly adjusted the rearview mirror, watching the pastel bouncy castle inflate with a wheeze. The suburban backyard blazed with fairy lights, and a cluster of screeching seven-year-olds were already tearing into a piñata shaped like aUnicorn. “You see that,” she said, nodding at the gift table. It was a cardinal sin, wrapped and stacked like a tower of shiny cardboard sins. “That's not a table. That's a vault with a Disney Princess theme.” Bill snorted, picking at a loose thread on his ski mask. “It's a bunch of toy drones and glittery slime. We hit a bank, we get cash. We hit this, we get... a future trip to the pediatric ER when some kid swallows a tiny plastic dinosaur.” “Which we'll fence for sixty percent of retail,” Molly said. “That's the beauty. Parents go insane these days. They spend like the recession never happened. You see that giant box shaped like a Millennium Falcon? That's four hundred dollars at the Lego store.” Bill squinted. “I see a piñata shaped like a unicorn with three broken legs. We're stealing from children, Molly.” “We're stealing from the parents, Bill. The children are just the delivery system. The parents wrap it, lug it here, and leave it unattended while they drink prosecco from Solo cups.” She popped a breath mint. “It's the easiest score of our lives.” “Feels too easy,” he grumbled. “What's the catch? A clown with a black belt?” “The catch is we need to look like party entertainers,” Molly said. She tossed him a polo shirt with a cartoon balloon on the chest. “They've got a slot at 2 PM for a puppet show. The host emailed me a confirmation. We show up, do a terrible five-minute show with two socks, then announce a 'magic gift round-up' where all presents go into our special 'reindeer sleigh bag.' We're out before the cake.” Bill held the polo shirt like it was infected. “I'm not doing a puppet show.” “You're the puppeteer. I'll operate the music and the escape van. You just need to wave a sock and say 'gimme presents' in a high voice.” “And if a kid throws a tantrum?” “Then you throw a bigger tantrum. You're a master of those.” Bill stared at the house. A woman in a linen jumpsuit was chasing a boy with a frosting mustache, laughing. “I feel morally wrong.” “Morals are for people who can afford a mortgage,” Molly said. “Look, in four hours, we're going to be eating shrimp cocktails out of the mini-fridge in our motel, counting hundreds in unmarked bills. And some little Timmy will learn a valuable life lesson about the fragility of material possessions.” “He'll learn his new Xbox is gone.” “Exactly. It's educational.” Bill sighed, pulling the polo over his head. “Fine. But I'm keeping the sock. Last time I do a heist with someone who's read a parenting blog.” Molly grinned, starting the engine. “That's the spirit. Now get in the back and practice your falsetto. We've got a show to ruin.”
created_at
"2026-09-03T10:22:29.634Z"
9/3/2026, 10:22:29 AM
model
"deepseek/deepseek-v4-flash-20260731"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1407
moderation_latency
(null)
generation_time
9342
tokens_prompt
75
tokens_completion
966
native_tokens_prompt
146
native_tokens_completion
872
native_tokens_completion_images
(null)
native_tokens_reasoning
179
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
0.000364584
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788430949-qNTREgBti9zRjUeN9PlM"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788430949-4j89mMMt7m2RNxnn1Hkl"
upstream_id
"req-ioz596-1788430949823006227"
provider_responses
0
endpoint_id
"d880a270-04ff-479c-b312-6246c0f985b0"
id
"req-ioz596-1788430949823006227"
is_byok
false
latency
1406
model_permaslug
"deepseek/deepseek-v4-flash-20260731"
provider_name
"StreamLake"
status
200
total_cost
0.000364584
cache_discount
(null)
upstream_inference_cost
0
provider_name
"StreamLake"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
98.71%
Matches word count
n/a
neededClean
false
words
506
0.00%
Dialogue to Total Word Ratio
Ratio: 72.41%, Deviation: 22.41%
neededClean
false
wordsTotal
511
wordsDialogue
370
49.3562%