Run: 2026-05-10-01KR92BCBKFAGJZKFHBYKHD4FT

Run Details

Duration:
13.8s
Cost:
$0.000106
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
99.52% Dialogue to Total Word Ratio (details)
79.8984% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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
The blueprints for the Henderson residence were spread across the grease-stained kitchen table, looking less like a criminal masterplan and more like a spilled bowl of spaghetti. Molly squinted through her tactical goggles, tapping a heavy finger on the diagram of the living room. It was a high-stakes battlefield of balloon animals and discarded juice boxes. The objective was clear: the mountain of brightly wrapped boxes sitting beneath the frosted pine tree. Bill adjusted his balaclava, which was currently snagged on his earring. He stared at the obstacle course of glitter-covered streamers blocking the main hallway. "Is that a laser security system?" Bill whispered, pointing at a string of colorful fairy lights. "No, it is just cheap decor," Molly hissed back. The perimeter was crawling with unpredictable elements. There were high-frequency shrieks capable of shattering glass and a biological hazard in the form of a sticky toddler wandering the halls. They needed precision, silence, and most importantly, a way to bypass the watchful eye of a golden retriever named Barnaby. "We grab the Lego sets first," Molly commanded. "And the remote-controlled cars?" Bill asked. "Naturally."
created_at"2026-05-10T13:48:40.721Z" 5/10/2026, 1:48:40 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1129
moderation_latency(null)
generation_time3416
tokens_prompt77
tokens_completion312
native_tokens_prompt79
native_tokens_completion242
native_tokens_completion_images(null)
native_tokens_reasoning0
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)
usage0.00010628
router(null)
provider_responses
0
endpoint_id"d99bcbe6-bec3-4991-965e-45fea79fe63c"
is_byokfalse
latency10077
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DekaLLM"
status504
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endpoint_id"d71c6981-347d-4622-a86b-2c9e5d0f2c6c"
is_byokfalse
latency53
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DeepInfra"
status429
2
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-81896370805aa30c"
is_byokfalse
latency1129
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-1778420920-REIHI3S7643QTHvNpcCC"
session_id(null)
api_type"completions"
id"gen-1778420920-Z3z3pZnZMJbf7qUaSN7N"
upstream_id"chatcmpl-81896370805aa30c"
total_cost0.00010628
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words185
99.52% Dialogue to Total Word Ratio
Ratio: 12.63%, Deviation: 2.63%
neededCleanfalse
wordsTotal190
wordsDialogue24
79.8984%