Run: 2026-05-10-01KR8XKBQZ6PHKAKGEM1HFB25W

Run Details

Duration:
4.7s
Cost:
$0.000097
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
13.5829% 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 blueprint across the sticky kitchen table. "The target is a seven-year-old’s birthday bash, Bill. High stakes." Bill squinted at the colorful diagram. "Is that a bounce house or a tactical obstacle course?" "It is both," Molly whispered, tapping a drawing of a clown. "The clown is the heavy security. We move during the cake cutting." "What about the juice box perimeter?" Bill asked, wiping sweat from his brow. "I heard they have unlimited fruit punch. It’s a sticky trap." "We wear gloves, Bill. No fingerprints in the frosting," Molly commanded. "And the presents? Are we talking high-end electronics or just plastic dinosaurs?" Molly leaned in close. "It is a treasure trove of LEGO sets and remote-controlled cars. Pure gold." "I need a distraction," Bill muttered, checking his empty pockets. "Something loud. Bubbles? A runaway pony?" "You will blow the bubbles," Molly decided. "I will swoop in, bag the gift boxes, and vanish before the 'Happy Birthday' song ends." "A daring plan," Bill grinned. "But what if the kid sees us?" "Then you start dancing, Bill. Just start dancing."
created_at"2026-05-10T12:25:39.335Z" 5/10/2026, 12:25:39 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency126
moderation_latency(null)
generation_time4596
tokens_prompt77
tokens_completion296
native_tokens_prompt79
native_tokens_completion268
native_tokens_completion_images(null)
native_tokens_reasoning0
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)
usage0.00009665
router(null)
provider_responses
0
endpoint_id"d71c6981-347d-4622-a86b-2c9e5d0f2c6c"
id"chatcmpl-RYi7uZbOn0NfVCELPzJcWx5P"
is_byokfalse
latency63
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778415939-L7LjYXfBIu5KOeiFEIVi"
session_id(null)
api_type"completions"
id"gen-1778415939-uyghWe3ImFAmK5MCwd9I"
upstream_id"chatcmpl-RYi7uZbOn0NfVCELPzJcWx5P"
total_cost0.00009665
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words181
0.00% Dialogue to Total Word Ratio
Ratio: 75.14%, Deviation: 25.14%
neededCleanfalse
wordsTotal185
wordsDialogue139
13.5829%