Run: 2026-09-03-01M1KB78870WJV84DMM63649N9

Run Details

Duration:
12.5s
Cost:
$0.000083
Provider:
Relace

Evaluation summary

Score Evaluator
Details Link
6.09% Matches word count (details)
97.98% Dialogue to Total Word Ratio (details)
52.0372% 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 the target is a birthday party. Ages four to seven,” Molly said, peering through binoculars from the parked van. “Four to seven. That’s the demographic. High-value loot. Unwrapped, too. They do the present pile on a plastic table,” Bill replied, chewing a pen. “And the parents? They’ll be watching like hawks.” “They’ll be drunk on fruit punch and small talk. The real security is a clown. Goes by ‘Bubbles.’ Does balloon animals. Also has a taser.” “A taser-wielding clown? That’s your intel?” “I saw him use it on a piñata that wouldn’t break. He’s a professional.” “Okay. So we go in as... what? Another clown?” “No. Too risky. We go in as the birthday girl’s divorced uncle and his new girlfriend. We bring a gift. It’s a decoy. Inside is a motorized fart machine. When it goes off, chaos.” “You want to cause a flatulence panic at a kids’ party? Bill, that’s genius.” “Then while Bubbles is doing CPR on a balloon poodle, we grab the gift bags. Every single one. Plus the cake.” “We’re stealing cake?” “It’s a smash cake. Worth forty dollars. And it has a tiny race car on top. We need that.” “So we’re targeting children’s presents and a cake with a toy car.” “It’s a heist, Molly. Not a charity event.” “Fine. But I’m keeping the car.”
created_at"2026-09-03T09:57:23.376Z" 9/3/2026, 9:57:23 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency635
moderation_latency(null)
generation_time10596
tokens_prompt75
tokens_completion424
native_tokens_prompt146
native_tokens_completion408
native_tokens_completion_images(null)
native_tokens_reasoning65
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)
usage0.00008293
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429443-v2q8W0ufpgoA36G7sLLB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429443-Tv0GGfjoNvmr0wWdWF9b"
upstream_id"55d11e7bb612486ca6fef9075966dcaa"
provider_responses
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endpoint_id"cb029acf-a84f-4280-8103-909d269e1e5f"
is_byokfalse
latency287
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"DigitalOcean"
status429
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endpoint_id"223c54e7-4db1-4098-980f-47741e7637ab"
is_byokfalse
latency358
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Baidu"
status429
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endpoint_id"14c4df90-c7af-42ff-99e7-69d62a89e7d5"
is_byokfalse
latency1185
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"AkashML"
status429
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endpoint_id"57c1bfab-049c-4d6a-ab34-ac1007a6043b"
id"55d11e7bb612486ca6fef9075966dcaa"
is_byokfalse
latency635
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Relace"
status200
total_cost0.00008293
cache_discount(null)
upstream_inference_cost0
provider_name"Relace"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
6.09% Matches word count n/a
neededCleanfalse
words223
97.98% Dialogue to Total Word Ratio
Ratio: 93.78%, Deviation: 3.78%
neededCleanfalse
wordsTotal225
wordsDialogue211
52.0372%