Run: 2026-05-10-01KR90ES2XFC5FXWTSW0JX9KBC

Run Details

Duration:
45.7s
Cost:
$0.001786
Provider:
Venice

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
66.67% Dialogue to Total Word Ratio (details)
82.6891% 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
Molly checked her watch. "Ready, Bill?" "Do I really have to wear the clown suit, Molly?" "Yes. It's the perfect cover." "I'm a professional getaway driver, not a balloon animal specialist." "Just hold the bag and look whimsical." "Whimsical? I look like a neon nightmare." "Quiet. The target is the living room. Three-year-olds. High chaos, low security." "What about the parents?" "They'll be distracted by the cake. Once the sugar rush hits and the screaming starts, we strike." "And the presents?" "Piled by the sofa. We scoop, we sprint, we vanish." "What if a kid grabs my leg? They're like little piranhas." "Kick them. Gently." "Gently?" "We're thieves, Bill, not monsters." "Right. Do I still get a cut of the LEGO sets? Specifically the Star Wars ones?" "If you don't pop a balloon with your nose, yes." "My nose is sensitive to latex." "Tough. Now, do you have the diversion?" "A bag of glitter and a very loud whistle." "Perfect. On my signal, you create the glitter-storm." "I feel dirty doing this." "You're wearing a polka-dot jumpsuit. You're already dirty." "Do we have a backup plan?" "Yes. We run." "Get in the car, Bozo."
created_at"2026-05-10T13:15:34.885Z" 5/10/2026, 1:15:34 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency495
moderation_latency(null)
generation_time45518
tokens_prompt77
tokens_completion3165
native_tokens_prompt82
native_tokens_completion3543
native_tokens_completion_images(null)
native_tokens_reasoning2861
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)
usage0.00178585
router(null)
provider_responses
0
endpoint_id"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
id"chatcmpl-b6a300f98eeabe81"
is_byokfalse
latency487
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Venice"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778418934-x7Q3qezWVsi0baMvCeDp"
session_id(null)
api_type"completions"
id"gen-1778418934-NjDM6dAu3xAHr8MFhNBQ"
upstream_id"chatcmpl-b6a300f98eeabe81"
total_cost0.00178585
cache_discount(null)
upstream_inference_cost0
provider_name"Venice"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
98.71% Matches word count n/a
neededCleanfalse
words194
66.67% Dialogue to Total Word Ratio
Ratio: 97.98%, Deviation: 7.98%
neededCleanfalse
wordsTotal198
wordsDialogue194
82.6891%