Run: 2026-09-03-01M1M23KRFSR6VV8HHBTYM9TMC

Run Details

Duration:
3m 8s
Cost:
$0.023629
Provider:
Ionstream

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
31.60% Dialogue to Total Word Ratio (details)
65.8002% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 unrolled a map of the backyard across the van floor. The van smelled of old gloves, glitter glue, and the faint hope of a very bad idea. Molly tapped the map. Bill chewed a stolen peppermint loudly. Bill said, "We enter through the side window. The parents are inside doing their crafty thing. The kids are outside watching a balloon animal. We grab the presents and leave before anyone says the word gift." Molly said, "Too slow. We need speed. I will dress as the juice box lady. You dress as the tablecloth. Nobody checks a tablecloth." Bill said, "Nobody would trust a talking tablecloth." Molly said, "You are not talking. You are rustling suspiciously. That is the role." Bill said, "Fine. What about the tricycle?" Molly said, "Leave it. It squeaks." Bill said, "What about the robot with the disco lights?" Molly said, "That one has a button." Bill said, "Every robot has a button." Molly said, "That is the button. When we touch it, it says present. Then everyone screams." Bill said, "Perfect. We steal the robot first." Molly said, "No. We steal the box with the stars. That is probably expensive." Bill said, "It says from Grandma." Molly said, "Grandma is our favorite mark. She pays cash." Bill said, "Can we also take the cupcake?" Molly said, "Bill, we are thieves, not toddlers." Bill said, "The cupcake has sprinkles." Molly said, "The cupcake has frosting." Bill said, "Yes, frosting is stolen sugar architecture." Molly said, "Fine. One cupcake. But if we are caught, you tell them you were a bear." Bill said, "A bear?" Molly said, "A very polite bear who loves party gifts." Bill said, "I can do polite." Molly said, "You once apologized to a parking meter." Bill said, "I am an artist." Molly said, "You are a disaster. Now listen. At eight o'clock, the clown will leave the tent. We slide in. You take the big boxes. I take the shiny things. If a child looks at us, you wave. If a parent looks at us, you wave faster." Bill said, "Waving is my weakness." Molly said, "Your waving is our whole plan." Bill said, "Do we have rope?" Molly said, "We have ribbon." Bill said, "Ribbon is for wrapping." Molly said, "Ribbon is for escaping. It is light, it sparkles, and it confuses dogs." Bill said, "Do dogs even matter at a children's party?" Molly said, "A party dog matters because it has seen every bad idea the owners have ever had." Bill said, "Fair point. What if the presents have locks?" Molly said, "Then we have a problem." Bill said, "I have a problem." Molly said, "We will solve the problem with the cupcake." Bill said, "I hope the cupcake is strong." Molly said, "It is one bite strong. I am very hungry." Bill said, "Then we begin with dessert." Molly said, "No. We begin with the tricycle." Bill said, "It squeaks." Molly said, "So does my patience. Grab the ribbon."
created_at"2026-09-03T16:37:21.325Z" 9/3/2026, 4:37:21 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency321
moderation_latency(null)
generation_time188259
tokens_prompt75
tokens_completion6445
native_tokens_prompt118
native_tokens_completion9250
native_tokens_completion_images(null)
native_tokens_reasoning8474
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)
usage0.0236288
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788453441-yqeDnqlXUKGvVRzkvW3C"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788453441-D4zqUIb9IZ7284vgO69l"
upstream_id"49a745bf2a1f4b3d8b41c8c63a757e7e"
provider_responses
0
endpoint_id"360e373e-d445-4de9-ae30-e33d6198715b"
id"49a745bf2a1f4b3d8b41c8c63a757e7e"
is_byokfalse
latency321
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Ionstream"
status200
total_cost0.0236288
cache_discount(null)
upstream_inference_cost0
provider_name"Ionstream"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words500
31.60% Dialogue to Total Word Ratio
Ratio: 74.80%, Deviation: 4.80%
neededCleanfalse
wordsTotal500
wordsDialogue374
65.8002%