Run: 2026-09-03-01M1M1K662KW72JQM6NTKP0D11

Run Details

Duration:
2m 12s
Cost:
$0.026155
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 50% 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
Bill unfolded a napkin map on the cake table while Molly tucked a tiny grappling hook into her party hat. "The presents are stacked behind the balloon arch." Bill pointed at the glittery boxes, his eyes bright with criminal ambition. "We need to be gentle." Molly adjusted her paper hat, pretending she was not a felon. "Gentle? We are thieves, not babysitters." Bill held a lollipop like a microphone. "Yes, but these children believe in Santa." Molly pointed at a photo of a child holding a crayon. "Exactly. We are the good guys." Bill winked at the clown balloon. "Then we must steal only ugly sweaters." Molly shuddered, remembering a Christmas she survived. "All the presents, Bill. Every one." Bill spread his fingers, promising total theft. "That is a greedy plan." Molly opened the tiny escape window. "It is an elegant plan." Bill placed a glitter bomb on the table. "With a backup plan." Molly slid the cake pan. "Our backup plan is cake." "Cake is not a plan." "Cake is the best plan." "The clown knows our face." "Then we wear the clown hats." "We are not funny." "We are hilarious." "Let us begin." "May the presents be merry."
created_at"2026-09-03T16:28:23.183Z" 9/3/2026, 4:28:23 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency777
moderation_latency(null)
generation_time132305
tokens_prompt75
tokens_completion8301
native_tokens_prompt118
native_tokens_completion10447
native_tokens_completion_images(null)
native_tokens_reasoning8007
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)
usage0.02615526
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788452903-KTTF7XqjxQQ5g5Pmwl6V"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788452903-5GoNqHwAK5PqtzgPDxuL"
upstream_id"chatcmpl-9be13d07f7f233d7"
provider_responses
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endpoint_id"c15e008c-6180-4155-8707-bde541bc7884"
id"chatcmpl-9be13d07f7f233d7"
is_byokfalse
latency777
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"AkashML"
status200
total_cost0.02615526
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: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%