Run: 2026-04-25-01KQ2GCCEG4245W30PNPC8KJ1E

Run Details

Duration:
4.9s
Cost:
$0.000091
Provider:
DeepSeek

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
30.1376% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 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

AI
Molly squinted through the binoculars. “The unicorn bounce house is the key. Security’s too busy dodging sticky fingers.” Bill adjusted his fake mustache. “You want me to waltz in wearing this? I look like a depressed librarian.” “You look like a distraction,” she said. “I’ll slip the loot into the piñata bag.” “The loot? It’s a pile of Pokémon cards and a singing plushie llama. We’ll be legendarily broke.” “Don’t underestimate the secondary market for rare holographics. And that llama has a following.” He sighed. “So my job is to get tackled by a swarm of eight-year-olds?” “Precisely. Cause a scene at the cake table. Cry about the frosting. They’ll swarm you with napkins.” “I’m not crying for a unicorn cake.” “You’ll cry if we walk away empty-handed. Look, the birthday boy just dropped his own present. He’s sobbing. That’s our opening.” “That’s traumatic.” “It’s capitalism, Bill. Now go. And for heaven’s sake, straighten your mustache. You look like a caterpillar ate a sad man.” He trudged toward the party, muttering, “I’m stealing a llama for a nursery rhyme. My mother would be so proud.”
created_at"2026-04-25T14:23:30.773Z" 4/25/2026, 2:23:30 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency538
moderation_latency(null)
generation_time4698
tokens_prompt77
tokens_completion328
native_tokens_prompt67
native_tokens_completion290
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"
usage0.00009058
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"3d0c891a-d5dc-462c-a328-23662109f598"
is_byokfalse
latency280
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-1777127010-eE9NG4n9cJ3XnAmijDkV"
session_id(null)
api_type"completions"
id"gen-1777127010-YHBN6RPCgZOeXLIL6cxO"
upstream_id"3d0c891a-d5dc-462c-a328-23662109f598"
total_cost0.00009058
cache_discount(null)
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words185
0.00% Dialogue to Total Word Ratio
Ratio: 89.36%, Deviation: 39.36%
neededCleanfalse
wordsTotal188
wordsDialogue168
30.1376%