Run: 2026-05-10-01KR94686TQ894CHWTWYC1FV7N

Run Details

Duration:
6m 13s
Cost:
$0.004680
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9592% 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 stolen blueprint across the grease-stained table, her eyes narrowed in intense, professional focus. "The target is the Miller residence, specifically the backyard bouncy castle zone," she whispered. Bill squinted at the colorful, glitter-covered map, a look of profound, existential hesitation crossing his rugged, scarred face. "Wait, we're hitting a birthday party? That's low, even for us." Molly tapped a heavy finger on a drawing of a giant, inflatable dinosaur. "It’s high reward, Bill! Look at the intel. There’s a new LEGO set and a mountain of remote-controlled cars." Bill rubbed his chin, sweating profusely under the dim, flickering light of their cramped, basement hideout. "But what about the sentries? The toddlers are unpredictable. They have no concept of stealth." Molly leaned in closer, her voice dropping to a conspiratorial, dangerous hiss. "We use the distraction maneuver. You dress as a clown. I’ll blend in as the disgruntled aunt." Bill gasped, clutching his chest in mock, dramatic agony. "A clown? My face is too expressive for greasepaint!" Molly rolled her eyes and snapped, "Just pull your nose and keep your mouth shut. We hit the gift table during the cake ceremony." They both stared at the map in heavy, weighted silence.
created_at"2026-05-10T14:20:49.785Z" 5/10/2026, 2:20:49 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency230
moderation_latency(null)
generation_time372629
tokens_prompt77
tokens_completion10317
native_tokens_prompt82
native_tokens_completion13749
native_tokens_completion_images(null)
native_tokens_reasoning9996
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)
usage0.0046804
router(null)
provider_responses
0
endpoint_id"d71c6981-347d-4622-a86b-2c9e5d0f2c6c"
id"chatcmpl-RXZlmE3JVyt2gbXQ4fBZFbPl"
is_byokfalse
latency112
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778422849-7TM0KxmKPMQoFbn9bZn7"
session_id(null)
api_type"completions"
id"gen-1778422849-sVmTiJHjRlDpANknpOrF"
upstream_id"chatcmpl-RXZlmE3JVyt2gbXQ4fBZFbPl"
total_cost0.0046804
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
100.00% Dialogue to Total Word Ratio
Ratio: 49.51%, Deviation: 0.49%
neededCleanfalse
wordsTotal206
wordsDialogue102
99.9592%