Run: 2026-04-25-01KQ2H0QG8N0BGV3DR0VMYX136

Run Details

Duration:
15.7s
Cost:
$0.000113
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
90.77% Dialogue to Total Word Ratio (details)
95.2590% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
“So you’re telling me,” Bill said, peering through the hedge, “we’re robbing a gaggle of five-year-olds.” “Seven-year-olds,” Molly corrected, adjusting her fake clown nose. “They’ve got better loot. Think about it—tablets, gaming consoles, the good stuff.” “I’m thinking about the screaming. The crying. The tiny, sticky fingers reaching for my pant leg.” “You’ll be in a unicorn costume, Bill. They’ll love you.” “I will not love myself. Why can’t we knock over a pharmacy like normal criminals?” “Because pharmacies don’t have wrapping paper. Look—Uncle Larry’s Magical Balloon Show starts at 2. We roll in as backup clowns. I distract the parents with balloon swords—” “While I do what? Hand out dental floss?” “You swap the gift bags with these.” She hefted a sack of empty, glitter-covered boxes. “They get a pile of junk. We get the pile of value. It’s victimless.” “Victimless?” Bill’s voice cracked. “We’re traumatizing an entire generation of birthday enthusiasts.” “They’ll learn a valuable lesson about materialism.” “They’ll learn to distrust anyone with a red nose.” “Exactly. Now get in the suit.” Bill stared at the foam horn. “I should’ve gone into banking.” “Banking doesn’t pay in Frozen dolls. Let’s move.”
created_at"2026-04-25T14:34:37.452Z" 4/25/2026, 2:34:37 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency493
moderation_latency(null)
generation_time5508
tokens_prompt77
tokens_completion429
native_tokens_prompt67
native_tokens_completion370
native_tokens_completion_images(null)
native_tokens_reasoning53
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"
usage0.00011298
router(null)
provider_responses
0
endpoint_id"934a69f9-bd54-474b-beca-24560f721e12"
is_byokfalse
latency54
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepInfra"
status(null)
1
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"210d9f0e-8009-4420-9074-baeb810d99de"
is_byokfalse
latency279
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777127677-D2sZSkR4op0iIw3AzYo2"
session_id(null)
api_type"completions"
id"gen-1777127677-DqUCKcKvqpjafAnNL5H9"
upstream_id"210d9f0e-8009-4420-9074-baeb810d99de"
total_cost0.00011298
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words196
90.77% Dialogue to Total Word Ratio
Ratio: 84.42%, Deviation: 5.58%
neededCleanfalse
wordsTotal199
wordsDialogue168
95.2590%