Run: 2026-05-10-01KR8VS5G8JQYHSKF10195FYMS

Run Details

Duration:
3m 47s
Cost:
$0.002842
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9992% 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 tapped the blue blueprint, her eyes gleaming with greed and ambition. "The cake is the diversion." Bill scratched his chin while frowning deeply at the crumpled map. "Who steals from kids?" She glared at him with a look of utter disappointment. "The loot is high-end. Lego, consoles, maybe a car." Bill sighed, leaning his heavy frame over the messy drawing. "I hate the layout. Too many balloons." "That is why we use balloons," Molly replied with a sharp, commanding tone. "We blend in." Bill looked confused. "How do we blend in?" She smirked and held up a foam red nose. "We dress as clowns, you idiot." Bill looked genuinely horrified and pale. "I cannot do makeup. It irritates me." "Tough. The target is the gift table." Bill wondered aloud with a hint of anxiety. "What about the parents?" "They will be distracted by the sugar crash. Ten minutes." Bill questioned the exit strategy. "What about the getaway?" "The ice cream truck is outside. I hijacked it." Bill admitted with a sudden grin. "That is actually brilliant," Molly asked the final crucial question. "Tell me, can you juggle?" "No." Molly groaned and facepalmed in defeat. "We are completely doomed."
created_at"2026-05-10T11:53:52.401Z" 5/10/2026, 11:53:52 AM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency314
moderation_latency(null)
generation_time226540
tokens_prompt77
tokens_completion6174
native_tokens_prompt82
native_tokens_completion7450
native_tokens_completion_images(null)
native_tokens_reasoning5879
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)
usage0.00284166
router(null)
provider_responses
0
endpoint_id"9d4644e9-a5e5-41f4-b810-d75f484d2c24"
is_byokfalse
latency21
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Parasail"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RVv7fogVsYgPMnS0buyTnMly"
is_byokfalse
latency52
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-1778414032-V1X21vbsVXaKe9yTqusp"
session_id(null)
api_type"completions"
id"gen-1778414032-dC2fVIM3XlR8vfnj2XU3"
upstream_id"chatcmpl-RVv7fogVsYgPMnS0buyTnMly"
total_cost0.00284166
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
words199
100.00% Dialogue to Total Word Ratio
Ratio: 50.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal200
wordsDialogue101
99.9992%