Run: 2026-05-10-01KR8ZBQ81FRE6ZPD0M60QH2YW

Run Details

Duration:
3m 35s
Cost:
$0.004768
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.08% Dialogue to Total Word Ratio (details)
99.5383% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 crinkled map on the table. "Listen, Bill. The target is the Miller estate. Saturday, two p.m. High density of brightly wrapped contraband." "Is it the diamonds again, Molly? My nerves can't take another high-security vault job." "Better. It's a seventh birthday party. The loot is concentrated in the living room, tucked under the weeping willow tree." "Presents? You want us to hit a bouncy castle?" "Don't underestimate the prize, Bill. We're talking LEGO Technic sets, remote-controlled drones, and a potentially mint-condition Nintendo Switch." "What's the extraction plan? A getaway car?" "A minivan. We enter via the sliding glass door. I'll provide cover by pretending to be a disgruntled birthday clown. You slip in, bag the goods, and exit through the sandbox." "A clown? I don't do face paint, Molly. It's terrible for my complexion." "It's a disguise! Now, what about the security?" "The security?" "The toddlers. They're unpredictable. They have sticky hands and zero impulse control." "I'll bring the juice boxes as a distraction." "Perfect. Now, go get the oversized shoes and the red nose." Bill stared at her, completely skeptical. "Do we need the glitter cannon?" "Absolutely. It's the only way to ensure a clean getaway."
created_at"2026-05-10T12:56:26.12Z" 5/10/2026, 12:56:26 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2582
moderation_latency(null)
generation_time214961
tokens_prompt77
tokens_completion9401
native_tokens_prompt82
native_tokens_completion11895
native_tokens_completion_images(null)
native_tokens_reasoning9076
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)
usage0.00476784
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-908cc26a60e78da2"
is_byokfalse
latency2553
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-1778417786-tfGisqhxqDrv6GxGHx3u"
session_id(null)
api_type"completions"
id"gen-1778417786-a4EmUJFZPC3GOzvKSGJ0"
upstream_id"chatcmpl-908cc26a60e78da2"
total_cost0.00476784
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.08% Dialogue to Total Word Ratio
Ratio: 93.10%, Deviation: 3.10%
neededCleanfalse
wordsTotal203
wordsDialogue189
99.5383%