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Run: 2026-10-20-01M5C6NKMQ41F6MZA7HXD90RT7
Run Details
Model:
DeepSeek V4.1 Flash 1017 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
21.8s
Cost:
$0.001546
Provider:
InferenceNet
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
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 unfolded the birthday invitation across the dashboard like it was a bank blueprint. “Right, Bill, here’s the score. Saturday, two o’clock, Little Lord Fauntleroy’s sixth birthday. Thirty kids, one clown, a bouncy castle, and a mountain of presents in the conservatory.” Bill squinted through the van’s windscreen at the balloon arch. “Molly, those aren’t guards. Those are toddlers.” “Toddlers are unpredictable. Worse than guard dogs. One of them bit me at a Christening.” “You were dressed as a dinosaur.” “It was a strategic costume. Focus.” Bill tapped the invitation. “What’s the clown situation?” “Annual leave for Cuddles the Clown. We’re replacing him.” Molly produced two fright wigs and a squeaky red nose. “You’re Chuckles. I’m Pickles. We go in through the entertainer’s entrance, set up the magic show, and while every child is watching you pull a rabbit out of a hat, I’m in the conservatory bagging the loot.” “Where exactly are we getting a rabbit?” “Party City. Receipt’s in the glove box.” Bill rubbed his temples. “And the parents?” “The parents will be drunk on prosecco by two-fifteen. It’s a Saturday. There’s a charcuterie board shaped like a pirate ship.” “What about the birthday boy’s father? I heard he’s built like a fridge.” “He’s doing the school run. We’ve got a window.” “And the nanny?” “Allergic to balloons. She’ll be in the kitchen mainlining antihistamines.” “Convenient.” “I didn’t say convenient. I said tragic.” Bill stared at her. “What about the bouncy castle?” “That’s our escape route. We deflate it at exactly two forty-five, create a diversion, and leave under cover of screaming.” “You want to escape under screaming children?” “It’s not the strangest thing we’ve done. Remember the llama gala?” “We do not speak of the llama gala.” Molly unfolded a crayon drawing she’d stolen from the target’s nanny. “Presents are stacked by the fireplace. I’ve identified three high-value items: a tablet, a remote-control excavator, and a limited-edition stuffed unicorn called Sir Sparklehoof.” “You want to steal a child’s unicorn?” “It’s resale, Bill. Collector’s item. The box alone is worth eighty quid.” Bill tugged at his collar. “I don’t like it. Kids are small and fast and they ask questions.” “That’s why we’re wearing clown makeup. No one questions a clown.” “People question clowns constantly, Molly. That’s the whole point of clowns.” Molly ignored him and clicked a stopwatch. “Timeline. Two o’clock, arrival. Two-oh-five, balloon animal distraction. Two-ten, magic show. Two-fifteen, I slip out during the disappearing handkerchief. Two-twenty, presents bagged. Two-thirty, deflate castle. Two-forty, van. Two-fifty, we’re eating cake.” “We get cake?” “We steal cake, Bill. There’s a difference.” Bill sighed. “Fine. But if a toddler bites me, I’m biting back.” “Professionalism, Chuckles. Professionalism.”
created_at
"2026-10-20T08:25:57.149Z"
10/20/2026, 8:25:57 AM
model
"deepseek/deepseek-v4.1-flash-20261017"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
166
moderation_latency
(null)
generation_time
21814
tokens_prompt
75
tokens_completion
3129
native_tokens_prompt
67
native_tokens_completion
3082
native_tokens_completion_images
(null)
native_tokens_reasoning
2334
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
0.00154636
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1792484757-7BxI2Os7qJMEmc95P65n"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1792484757-9Aj2xWqJac5JZLr2Eh2u"
upstream_id
"gv2_gc1AtuB0XcZOGoVtDwENK"
provider_responses
0
endpoint_id
"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id
"gv2_gc1AtuB0XcZOGoVtDwENK"
is_byok
false
latency
166
model_permaslug
"deepseek/deepseek-v4.1-flash-20261017"
provider_name
"InferenceNet"
status
200
total_cost
0.00154636
cache_discount
(null)
upstream_inference_cost
0
provider_name
"InferenceNet"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
447
0.00%
Dialogue to Total Word Ratio
Ratio: 84.57%, Deviation: 34.57%
neededClean
false
wordsTotal
460
wordsDialogue
389
0.0000%