Run: 2026-09-03-01M1KAY2FE5S96PZBFVGMJHBAD

Run Details

Duration:
4.2s
Cost:
$0.000134
Provider:
BaseTen

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
99.68% Dialogue to Total Word Ratio (details)
97.8330% 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
“Okay, run it by me again,” Molly said, adjusting her ski mask. “We’re robbing a birthday party?” “Not robbing. Liberating,” Bill whispered, peering through the hedge. “The presents are just sitting there. Unguarded. It’s a goldmine of Frozen-themed merchandise.” “We’re stealing from children, Bill.” “We’re stealing from parents who bought too much. That’s ethically different.” “How?” “Because the kids don’t pay for anything. They just cry when it’s gone. The parents cry when they see the credit card bill. We’re actually providing emotional release.” Molly sighed. “And the bouncy castle?” “Decoy. I’ll inflate it with the helium tank from the clown’s car.” “You’re going to steal the clown’s helium?” “I’m going to borrow it. Permanently.” “And the magician?” “I’ll distract him. I told him I’m a talent scout. He’s doing card tricks for me right now.” “You’re a terrible liar.” “I’m an excellent liar. He thinks I’m from Disney.” “Disney doesn’t scout at a backyard party in Jersey.” “He doesn’t know that. Look, Molly, do you want a Paw Patrol ride-on or not?” She paused. “...They have Paw Patrol?” “The big one. With the working lights.” “Fine. But if we get caught, I’m telling them you’re my therapist.” “Deal. Now grab the gift bags. I’ll handle the cake.”
created_at"2026-09-03T09:52:22.526Z" 9/3/2026, 9:52:22 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency967
moderation_latency(null)
generation_time4093
tokens_prompt75
tokens_completion481
native_tokens_prompt147
native_tokens_completion442
native_tokens_completion_images(null)
native_tokens_reasoning92
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)
usage0.00013403
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429142-Kd74deAlFeqcvcKlva1m"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429142-E2C76QXCnqYsqaUauE4z"
upstream_id"chatcmpl-bf516bb5dd5546ff946b1123a025865c"
provider_responses
0
endpoint_id"47a93b18-a9c6-485b-9a47-2afb6ca790dc"
id"chatcmpl-bf516bb5dd5546ff946b1123a025865c"
is_byokfalse
latency967
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"BaseTen"
status200
total_cost0.00013403
cache_discount(null)
upstream_inference_cost0
provider_name"BaseTen"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words208
99.68% Dialogue to Total Word Ratio
Ratio: 92.38%, Deviation: 2.38%
neededCleanfalse
wordsTotal210
wordsDialogue194
97.8330%