Run: 2026-09-03-01M1KY8GZY3GJ87BSF85DSA2AG

Run Details

Duration:
1m 57s
Cost:
$0.023635
Provider:
AkashML

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 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
Molly adjusted her party hat, a tiny foil crown that made her look like suspicious royalty outside the birthday party. Bill crouched beside the swaying banner, its letters dancing in the fan breeze while he nervously planned the entry path. Molly whispered, "Bill, all presents are inside," while pointing her ribbon gun at the biggest box with a red bow. Bill replied, "Molly, we need balloons," then checked the punch bowl for hidden cameras and shiny spoons and forks too. Molly nodded, "We take all presents after cake," then patted her apron pockets for candy wrapper evidence and gum sticks. Bill grinned, "Then we vanish into punch," and lifted a toy forklift that belonged to a suspicious little party track. The children sang a song about sharing, which sounded like a very polite threat to professional criminals on the run. Molly winked at the clown, who inflated a giant balloon that looked ready to become a very useful witness soon. Bill grabbed the forklift, tucked it under his arm, and pretended to be an uncle with strong opinions about toys. The night smelled of frosting, stolen joy, and one very suspicious plastic truck rolling away toward the dark parking lot.
created_at"2026-09-03T15:30:08.005Z" 9/3/2026, 3:30:08 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency300
moderation_latency(null)
generation_time116912
tokens_prompt75
tokens_completion7999
native_tokens_prompt118
native_tokens_completion9439
native_tokens_completion_images(null)
native_tokens_reasoning7702
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)
usage0.02363526
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788449408-LgVruiK8OZXyBvnkrjDr"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788449408-4VtN6IzCTzMJiztrBdxB"
upstream_id"chatcmpl-866cf00789fbf0db"
provider_responses
0
endpoint_id"c15e008c-6180-4155-8707-bde541bc7884"
id"chatcmpl-866cf00789fbf0db"
is_byokfalse
latency300
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"AkashML"
status200
total_cost0.02363526
cache_discount(null)
upstream_inference_cost0
provider_name"AkashML"
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: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%