Run: 2026-05-10-01KR90CQWERMGZRKFGWRQR2Q6A

Run Details

Duration:
15.6s
Cost:
$0.000115
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% 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. "Phase one is the diversion. We trigger the bubble machine." Bill frowned at the map. "Why the bubbles?" "Chaos, Bill. Pure, iridescent chaos. While the toddlers are hypnotized by the spheres, we strike the gift table." "Is that a picture of a clown?" Bill asked. "The getaway driver. He has a tiny car and a very large heart." Bill sighed, rubbing his temples. "Molly, this is a five-year-old's birthday. Do we really need tactical gear for a pile of Lego sets?" "It is about the principle of the heist," she snapped. "Now, do you have the distraction?" "I have a bag of glitter and a loud whistle," Bill admitted. "Perfect. When I signal, you release the glitter. It creates a shimmering smoke screen." "It creates a cleaning nightmare," Bill countered. "Exactly. The parents will be too busy sobbing over the carpet to notice the missing Barbie Dreamhouses." "What if the kids fight back?" Molly handed him a handful of gummy bears. "Bribery, Bill. We use the sugar to buy their silence." "I hate this job," Bill whispered. "You love the thrill."
created_at"2026-05-10T13:14:28.118Z" 5/10/2026, 1:14:28 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency100
moderation_latency(null)
generation_time15571
tokens_prompt77
tokens_completion302
native_tokens_prompt79
native_tokens_completion275
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)
usage0.00011477
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RUu9R7czkYuexv8nCc2wjHMP"
is_byokfalse
latency38
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-1778418868-dSjJpaRLQL3lZbRmXGVT"
session_id(null)
api_type"completions"
id"gen-1778418868-FdNl3teDWJIzklAMSz2h"
upstream_id"chatcmpl-RUu9R7czkYuexv8nCc2wjHMP"
total_cost0.00011477
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words190
0.00% Dialogue to Total Word Ratio
Ratio: 80.73%, Deviation: 30.73%
neededCleanfalse
wordsTotal192
wordsDialogue155
45.2419%