Run: 2026-05-10-01KR91BBMW83TN8MQZ7R7B3D30

Run Details

Duration:
5m 2s
Cost:
$0.003271
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
99.20% Dialogue to Total Word Ratio (details)
71.2883% 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 unfolded the blueprint of the living room with surgical precision, tracing the narrow route to the gift table. "We hit the table at 14:00 hours," she whispered with a focused gaze. Bill frowned, chewing on a toothpick and looking deeply skeptical. "Why so early?" "The cake is a distraction, Bill! While the kids scream over frosting, we swoop in." Bill glanced at the front yard, where a suspicious man in a rainbow wig stood menacingly. "I don't like the clown. He looks shifty." "Ignore him. The Millennium Falcon is priority one." Bill struggled with his disguise, a giant, oversized teddy bear suit that smelled strongly of old mothballs and failure. "I can't breathe in this thing, Molly." "Suffering is part of the craft. Now, what’s the signal?" "A loud sneeze?" "No! We agreed on a whistle." "I'm just a bear!" Molly sighed, rubbing her temples in utter frustration as she stared at her partner. "Fine. Sneeze twice for 'clear,' once for 'too many toddlers.'" "What if I just sneeze normally?" "Then we're both going to juvenile hall." Bill adjusted his fuzzy head, nearly knocking over a lamp. "Fair point. Do we get cake?" "Focus, Bill! We are professionals. Now." "I love red velvet," Bill insisted with a goofy grin. Molly glared. "Just get in the suit."
created_at"2026-05-10T13:31:11.396Z" 5/10/2026, 1:31:11 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency190
moderation_latency(null)
generation_time302000
tokens_prompt77
tokens_completion7773
native_tokens_prompt82
native_tokens_completion8581
native_tokens_completion_images(null)
native_tokens_reasoning7426
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)
usage0.00327144
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-R6j2BbbPnVCLty0spTml0JXX"
is_byokfalse
latency59
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-1778419871-VVtpnOyC101pJ75TOwgF"
session_id(null)
api_type"completions"
id"gen-1778419871-mEMQn3q20oCmbPaHIBUD"
upstream_id"chatcmpl-R6j2BbbPnVCLty0spTml0JXX"
total_cost0.00327144
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
43.38% Matches word count n/a
neededCleanfalse
words217
99.20% Dialogue to Total Word Ratio
Ratio: 53.00%, Deviation: 3.00%
neededCleanfalse
wordsTotal217
wordsDialogue115
71.2883%