Run: 2026-05-10-01KR91SDBB5GPT8RCMJTEQNTQ9

Run Details

Duration:
2m 39s
Cost:
$0.008969
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9920% 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 neon-colored blueprint across the grease-stained wooden table. She tapped a gloved finger on a drawing of a bouncy castle. "This is our extraction point, Bill. The Lego sets are tucked under the gift table." Bill wiped chocolate frosting from his chin and squinted. "What about the clown? He looks suspicious." "It’s a teenager in face paint, not a mercenary," Molly snapped irritably. "We enter during the piñata smash. The chaos will mask our exit." "But the juice boxes, Molly! They’re everywhere!" Bill gestured wildly at the map. "It's a sticky minefield." Molly grabbed his collar, pulling him close. "We aren't here for juice. We want the high-value loot. The Nintendo Switches, the remote-controlled drones, the scented markers." Bill sighed, his eyes glazing over. "I suppose I could bring the extra-strength napkin wipes." "Precisely. Now, check your tactical diaper bag again." "Is it ready?" Bill asked nervously. "It is now fully loaded with juice," she replied calmly. She watched him fumble with his gear. The mission was high-stakes, glittery, and potentially very loud. He reached into his pockets, pulling out multicolored confetti and a gummy bear. The sugar-fueled chaos of the birthday party awaited them all.
created_at"2026-05-10T13:38:51.891Z" 5/10/2026, 1:38:51 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2210
moderation_latency(null)
generation_time157683
tokens_prompt77
tokens_completion16167
native_tokens_prompt82
native_tokens_completion22397
native_tokens_completion_images(null)
native_tokens_reasoning15846
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)
usage0.00896864
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-88e1f9115e8f75d3"
is_byokfalse
latency2199
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778420331-HjUw01xaAcdGM6fBHF7M"
session_id(null)
api_type"completions"
id"gen-1778420331-GFwU3J0nWr0v5QLBeKWW"
upstream_id"chatcmpl-88e1f9115e8f75d3"
total_cost0.00896864
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words198
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal204
wordsDialogue102
99.9920%