Run: 2026-09-03-01M1KZE7FY6PZ1ZT86ARX00R38

Run Details

Duration:
2m 36s
Cost:
$0.019643
Provider:
CoreWeave

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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
Behind the birthday banner, two thieves adjusted their tiny top hats while planning the most colorful job of their lives. "Bill, if we steal every present, won't the kids know?" "Only if we leave evidence, Molly." "There'll be forty children." "There'll be forty happy thieves if we split them evenly." "The cake says Happy Birthday, which means cake." "Food is not loot. Presents are loot." "A present could be a coupon for a pony." "Paper ponies sell better." "Should we wear party hats?" "Disguises help." "I'll be the piƱata." "You'll be too obvious." "I'll be the birthday clown." "Circus act. No." "Which box do we take? The biggest. I can carry cake. Cake is not a box. Let's count all presents before counting heads now." "The parents will be in the garden." "Then we use the gift table as our stage." "We need a getaway cake." "Everyone needs a getaway cake." "Can we take the gift bags too?" "Bag is packaging." "Packaging is profit." "Fine. We steal bags, presents, and cake." "The children will cry." "The children will cheer." "Why?" "Because we forgot to hide the loot and left it under the table." "Then we're amateurs." "Then we're genius amateurs."
created_at"2026-09-03T15:50:43.461Z" 9/3/2026, 3:50:43 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency434
moderation_latency(null)
generation_time156145
tokens_prompt75
tokens_completion4955
native_tokens_prompt118
native_tokens_completion6532
native_tokens_completion_images(null)
native_tokens_reasoning4662
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)
usage0.0196432
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788450643-ffnB64zGsJQbKrFM2Pzw"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788450643-5xNoD9addlk9HsE4IunE"
upstream_id"chatcmpl-6b14b7a1-0e72-4a2a-8c8d-7e07760c7df6"
provider_responses
0
endpoint_id"adcebe80-d2d9-40e1-a7a4-37444a12860e"
id"chatcmpl-6b14b7a1-0e72-4a2a-8c8d-7e07760c7df6"
is_byokfalse
latency187
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"CoreWeave"
status200
total_cost0.0196432
cache_discount(null)
upstream_inference_cost0
provider_name"CoreWeave"
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
words200
100.00% Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%