Run: 2026-09-03-01M1K9NAB5JVSRAWZRN4T6K81C

Run Details

Duration:
51.2s
Cost:
$0.000167
Provider:
Makora

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
99.61% Dialogue to Total Word Ratio (details)
49.8051% 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
"Are you sure about this, Molly?" Bill asked, wiping his greasy fingers on a napkin. "Sure as sugar, Bill. The invitation says 'Pin the Tail on the Donkey' at 3 PM. We hit at 2:45." Molly leaned over the table, her voice a conspiratorial whisper. "But it's a kids' party. There's like, a bouncy castle. And parents." "Parents are distracted by juice boxes and small talk. The presents go under the big oak tree in the backyard. We slip through the fence." "What if we get caught?" "By who? A five-year-old in a superhero cape? Look, I've got the diversions planned. You bring the confetti cannon." "A confetti cannon? That's for celebrating, not distracting." "You fire it off in the front yard. Everyone runs to see the 'surprise'. I grab the haul. We meet at the car with the engine running." "Seems risky. What if there's a dog?" "Then you bring a steak. A big one." "Okay, okay. But what about the birthday kid? He'll be heartbroken." Molly smirked. "That's why I got us these." She pulled out two small, sad-looking teddy bears. "We'll leave one behind. They'll think the presents just... transformed." Bill stared. "You're a terrible person, Molly." "I prefer 'ethically flexible'. Now, you got the pink tutu for our disguises?" Bill groaned. "I look ridiculous." "That's the point. No one suspects a grown man in a tutu of grand larceny. You also need the unicorn horn." "Fine. But I'm keeping my boots on." "Deal. Now, let's go over the exit strategy one more time. After the cannon, you scream 'Free Bird!' and point at the sky."
created_at"2026-09-03T09:30:07.094Z" 9/3/2026, 9:30:07 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency176
moderation_latency(null)
generation_time43842
tokens_prompt75
tokens_completion830
native_tokens_prompt67
native_tokens_completion828
native_tokens_completion_images(null)
native_tokens_reasoning432
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)
usage0.00016749
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788427807-mSo8rxbDcbPw1tge3EJr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788427807-qnByeYvyQAbeDvwI66mI"
upstream_id"chatcmpl-c2d7988d-42e0-4791-a79f-6bcbc9ed2429"
provider_responses
0
endpoint_id"14c4df90-c7af-42ff-99e7-69d62a89e7d5"
is_byokfalse
latency1134
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"AkashML"
status429
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endpoint_id"223c54e7-4db1-4098-980f-47741e7637ab"
is_byokfalse
latency938
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Baidu"
status429
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endpoint_id"89e67dfe-8499-4a5c-a1eb-2baf0e8d63ee"
is_byokfalse
latency5176
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Inceptron"
status429
3
endpoint_id"c1980fff-0a72-4bce-8d62-a7d3fc582200"
is_byokfalse
latency63
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"DeepInfra"
status429
4
endpoint_id"562d5188-97d1-49f7-8881-d0e417e31ada"
id"chatcmpl-c2d7988d-42e0-4791-a79f-6bcbc9ed2429"
is_byokfalse
latency124
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Makora"
status200
total_cost0.00016749
cache_discount(null)
upstream_inference_cost0
provider_name"Makora"
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
neededCleanfalse
words269
99.61% Dialogue to Total Word Ratio
Ratio: 87.50%, Deviation: 2.50%
neededCleanfalse
wordsTotal272
wordsDialogue238
49.8051%