Run: 2026-05-10-01KR92SYD749W8PG7H4S5V2Q2F

Run Details

Duration:
8.8s
Cost:
$0.000121
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
99.67% Dialogue to Total Word Ratio (details)
63.4197% 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
"The target is the Miller residence, Bill. High-value toys, high-density sugar, and maximum chaos," Molly whispered, tapping a finger on the blueprint. "A children's birthday party? That's low, even for us," Bill grunted, adjusting his tactical turtleneck. "It’s not low, it’s tactical. The bouncy castle provides perfect acoustic cover for our entry." "And the smoke bombs?" "Too much drama. We use the glitter spray. It confuses the witnesses and masks our scent from the golden retriever." "What about the security? The birthday boy is eight. He's a menace." "He's a distraction, Bill. While he's busy blowing out candles, we hit the gift table. It’s a goldmine of Lego sets and remote-controlled drones." "And the loot bags? The ones with the tiny plastic whistles?" "Bag them immediately. They’re easy to flip on the black market." "I feel dirty, Molly. Really dirty." "Focus! Do you want the Lego Star Destroyer or not?" "Fine. But if a toddler asks me to play tag, I’m calling dibs on the getaway car." "Just keep your eyes on the cake, Bill. We move at two o'clock sharp."
created_at"2026-05-10T13:56:37.937Z" 5/10/2026, 1:56:37 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4037
moderation_latency(null)
generation_time8677
tokens_prompt77
tokens_completion295
native_tokens_prompt79
native_tokens_completion280
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)
usage0.00012148
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-aacc41711ac619cd"
is_byokfalse
latency4035
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-1778421397-SHzMbLbenGpnOKQw7Mlp"
session_id(null)
api_type"completions"
id"gen-1778421397-5wfj8zMwbqunQFRhOZzQ"
upstream_id"chatcmpl-aacc41711ac619cd"
total_cost0.00012148
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words181
99.67% Dialogue to Total Word Ratio
Ratio: 92.39%, Deviation: 2.39%
neededCleanfalse
wordsTotal184
wordsDialogue170
63.4197%