Run: 2026-05-10-01KR8XMT1Q72MWNR7ARK4954FC

Run Details

Duration:
3m 34s
Cost:
$0.002877
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.95% Dialogue to Total Word Ratio (details)
99.9747% 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 spread the blueprints across the sticky dashboard of the getaway van, her finger tracing a path toward the patio. "We enter through the sliding door at exactly two," she commanded loudly. Bill scratched his chin, staring intently at a yellow smudge of mustard on the map. "What about the scary clown?" "Ignore the clown. Focus on the presents," she replied, pointing to a red circle. Bill looked skeptical, leaning back into the cracked, smelly vinyl seat. "Is there a chocolate cake?" "Yes, but we want LEGOs, not frosting," Molly snapped, adjusting her headset. "A cake distraction could definitely work," he suggested. Molly sighed, wondering why she had ever partnered with this man. "No distractions. We grab the bags before the piñata drops." "Is it a donkey piñata?" "Does it even matter?" "I hate donkeys," Bill whispered, glancing away. Molly groaned, feeling a massive migraine blooming behind her eyes. "It is a party, not a zoo. Wear the bear suit and be quiet." "Does the suit have deep pockets?" "No, that is why we have laundry bags," she clarified firmly. "I feel like we are overthinking this," Bill noted, checking his gold watch. "We are stealing from children. Be professional."
created_at"2026-05-10T12:26:26.751Z" 5/10/2026, 12:26:26 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency321
moderation_latency(null)
generation_time213235
tokens_prompt77
tokens_completion6336
native_tokens_prompt82
native_tokens_completion7543
native_tokens_completion_images(null)
native_tokens_reasoning6033
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)
usage0.002877
router(null)
provider_responses
0
endpoint_id"69279254-6a96-4e9d-abc6-ea76e6bf8e97"
is_byokfalse
latency381
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Novita"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RQYrsM4apTW8frWqjEgKKbV5"
is_byokfalse
latency54
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778415986-KM5tbksJqEzzXspK02Qr"
session_id(null)
api_type"completions"
id"gen-1778415986-VEWYA91BSjSHWTzCMilk"
upstream_id"chatcmpl-RQYrsM4apTW8frWqjEgKKbV5"
total_cost0.002877
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.95% Dialogue to Total Word Ratio
Ratio: 51.50%, Deviation: 1.50%
neededCleanfalse
wordsTotal200
wordsDialogue103
99.9747%