Run: 2026-05-10-01KR8X7YFQWFKR9NVMD2TTDGJB

Run Details

Duration:
5m 32s
Cost:
$0.003570
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.99% Dialogue to Total Word Ratio (details)
99.9960% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 unfolded the blueprint of the suburban living room with the gravity of a general planning an invasion. Bill chewed on a toothpick, staring intensely at the highlighted "Cake Zone." They were targeting the third birthday of a brat named Timmy, who had a penchant for expensive robotic dogs. The security was minimal. Just a distracted mother and a balloon animal artist, but the perimeter was treacherous. Sticky fingerprints and scattered LEGOs posed a significant risk to their tactical footwear. Molly pointed to the sliding glass door, noting the window of opportunity between the piƱata collapse and the nap-time transition. This was a gold mine of plushies. "Is the diversion ready?" Molly asked. "I have the glitter bombs and a loud whistle," Bill whispered. "Check the tricycle," she said. "It is very fast," he replied. They synchronized their watches, adjusting their oversized clown shoes for maximum stealth. Bill checked cargo hold, ensuring enough space for the loot. The stakes were high, the target was loud, and the frosting was inevitable. They moved toward the fence, two professionals descending upon a sea of glitter and screaming toddlers, determined to claim every wrapped box before birthday boy could blow out a candle.
created_at"2026-05-10T12:19:25.313Z" 5/10/2026, 12:19:25 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency196
moderation_latency(null)
generation_time331933
tokens_prompt77
tokens_completion6724
native_tokens_prompt82
native_tokens_completion9367
native_tokens_completion_images(null)
native_tokens_reasoning6405
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)
usage0.00357012
router(null)
provider_responses
0
endpoint_id"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
is_byokfalse
latency90
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Venice"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RxtGalwxLiL9EvvMStLdBdFq"
is_byokfalse
latency72
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-1778415565-hMnhK6VHEZDp6pyndKqN"
session_id(null)
api_type"completions"
id"gen-1778415565-kHKrqSO2oDLihPkq8Bwc"
upstream_id"chatcmpl-RxtGalwxLiL9EvvMStLdBdFq"
total_cost0.00357012
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
99.99% Dialogue to Total Word Ratio
Ratio: 10.95%, Deviation: 0.95%
neededCleanfalse
wordsTotal201
wordsDialogue22
99.9960%