Run: 2026-05-10-01KR8X4AR0CR3H8P40YNY925S7

Run Details

Duration:
8.5s
Cost:
$0.000114
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
43.1902% 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 of the suburban living room across the table. "The target is the gift pile by the cake," she whispered. Bill frowned, chewing on a toothpick. "Why are we wearing oversized clown shoes, Molly?" "For stealth, Bill! No one suspects a clown," she snapped. "We enter through the patio, bypass the juice boxes, and grab the loot." "What about the kids?" Bill asked. "They’re feral. I saw a six-year-old tackle a golden retriever earlier." Molly rolled her eyes. "That is why we have the tactical diversion." She produced a bag of glittery confetti cannons. "On my signal, you blast the toddlers. While they are blinded by the sparkles, I scoop the LEGO sets and iPads into the sack." "And if the parents catch us?" Bill worried. "We pretend to be hired entertainment," she replied. "Can you juggle?" Bill looked at his clumsy hands. "I can almost balance a plate on my nose." "Pathetic," Molly sighed. "Just hold the bag and try not to trip over your toes. We move at 14:00 hours, right before the piñata massacre begins." "Got it," Bill murmured. "I'll bring the balloons."
created_at"2026-05-10T12:17:26.793Z" 5/10/2026, 12:17:26 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency102
moderation_latency(null)
generation_time8100
tokens_prompt77
tokens_completion291
native_tokens_prompt79
native_tokens_completion274
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)
usage0.00011439
router(null)
provider_responses
0
endpoint_id"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
is_byokfalse
latency105
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Venice"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RFyH0ohs6OMEoKg3xjzREchP"
is_byokfalse
latency50
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-1778415446-uu5icowKGdPYOPxH5vwK"
session_id(null)
api_type"completions"
id"gen-1778415446-nZLekbKrH9QLNs0SwmNP"
upstream_id"chatcmpl-RFyH0ohs6OMEoKg3xjzREchP"
total_cost0.00011439
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
0.00% Dialogue to Total Word Ratio
Ratio: 73.82%, Deviation: 23.82%
neededCleanfalse
wordsTotal191
wordsDialogue141
43.1902%