Run: 2026-04-25-01KQ2DRE7JHZDSKSYZZ7DZ5WZM

Run Details

Duration:
12.3s
Cost:
$0.000338
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
0.49% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
18.6400% 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
"A giant inflatable dragon." "A dragon." "It's their bouncy castle, Bill. It's a forty-foot bouncy dragon with a wading pool of ball-pit gold in its belly." "Still a dragon." "Fine. We're robbing Smaug, but he's full of toddlers. The point is the presents are piled inside the 'Treasure Hoard' themed snack tent. We need a distraction." "So we pop the dragon." "We absolutely do *not* pop the dragon. That's the first rule of kid-heisting: you pop the bouncy castle, you wake the beast. Thirty sugar-crazed five-year-olds, Bill. They'll swarm us like furious, glittery piranhas." "Fine. No popping. We blend in." "You want to blend. With the clown? Because 'Bubbles the Magic Clown' is already sitting in a police van after I may have tipped off his parole officer." "I was going to say the magician. I do a devastating disappearing coin trick." "You do a devastating dropping-the-coin-and-fumbling-it-into-a-heating-vent trick. I've booked 'Baxter the Birthday Warlock.'" "I'm Baxter the Birthday Warlock?" "You are. Robes, beard, dubious smoke effects. You'll announce a ceremony to 'enchant the presents for eternal merriment.' The parents will eat it up. You levitate the biggest gift, smoke bomb, we're out." "You mean I push it out the back tent flap while you catch it in a wagon disguised as a tiny fire truck." "That's the enchantment. What's my cover?" "Irish elf. Your name is Nibbles."
created_at"2026-04-25T13:37:40.097Z" 4/25/2026, 1:37:40 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency991
moderation_latency(null)
generation_time12206
tokens_prompt77
tokens_completion361
native_tokens_prompt67
native_tokens_completion355
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.000337995
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"459bb4a3-1426-4145-a767-0efc9ac33d1a"
is_byokfalse
latency269
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124260-pizEAuiY6GlxnG4mb9Gc"
session_id(null)
api_type"completions"
id"gen-1777124260-5diiF2sBEqD1mgMUdYAp"
upstream_id"459bb4a3-1426-4145-a767-0efc9ac33d1a"
total_cost0.000337995
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.49% Matches word count n/a
neededCleanfalse
words227
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal242
wordsDialogue242
18.6400%