Run: 2026-09-10-01M25DWT0EC89Z2ZEVEGCHS79H

Run Details

Duration:
2m 53s
Cost:
$0.006759
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3940% 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
"Bill, the clown suit is non-negotiable." "But the squeaky shoes, Molly?" "They're our cover. We waddle in, distract the birthday kid, and swipe every present." "All of them? Even the glitter unicorn?" "Especially the glitter unicorn. That's resale gold." "What about the parents?" "Parents are easy. Cake, sugar, chaos. You do balloon animals. I do the gift table." "I can't make balloon animals." "Then make balloon threats. You're an intimidating clown." "That's an oxymoron." "So is a thief with ethics. Focus." "Right. Entrance?" "Back gate, past the bouncy castle. I'll cut the piƱata rope and blame the twins." "The twins?" "There are always twins." "Security?" "A grandma with a camcorder and a toddler with a juice box." "Dangerous." "Toddlers are unpredictable. Keep moving." "Presents into the van?" "Presents into the van. Cake into my face, for realism." "And if the kids cry?" "Then we've won. Crying means distraction." "Or trauma." "Bill, we're stealing from a party, not running a charity." "Fine. But I keep the unicorn." "Deal. Now practice your honk." "Bill, remember the signal." "The signal?" "I yell cake, you grab everything." "Got it." "Okay. Good. Let's go steal some childhood." "Just the presents, Bill. And maybe the cake."
created_at"2026-09-10T10:30:26.579Z" 9/10/2026, 10:30:26 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency236
moderation_latency(null)
generation_time172920
tokens_prompt75
tokens_completion4916
native_tokens_prompt93
native_tokens_completion5609
native_tokens_completion_images(null)
native_tokens_reasoning5287
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)
usage0.0067587
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789036226-sFHgr5AsR8z7Ay2B1o51"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789036226-WcKKteQA8sCSxe67oJNw"
upstream_id"chatcmpl-RTiAgmxsGEJtamwFhMR8rJzJ"
provider_responses
0
endpoint_id"519706ce-5bef-4de6-a755-71cc3c3ac632"
id"chatcmpl-RTiAgmxsGEJtamwFhMR8rJzJ"
is_byokfalse
latency75
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepInfra"
status200
total_cost0.0067587
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
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
words200
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal201
wordsDialogue201
68.3940%