Run: 2026-09-01-01M1EMSNER692AF7QXCQNE1Y69

Run Details

Duration:
2m 55s
Cost:
$0.064908
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
83.65% Dialogue to Total Word Ratio (details)
91.8259% 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
Two experienced thieves named Molly and Bill were discussing their next big score which happened to be a children's birthday party full of expensive presents they intended to steal. Molly peered at the party through the fence as Bill loaded his bag. The children's laughter made the upcoming theft even more amusing to the pair of thieves. "Bill, let's enter when they start the treasure hunt. Everyone will be looking for clues, not us stealing the real treasure," Molly suggested. Bill grinned. "Molly, treasure hunt is ideal. I'll fake finding a clue that leads them away while you fill the sacks with wrapped boxes." "Yes, and we can leave a note saying the presents went to needy children elsewhere to throw them off." "That's hilarious. These parents will be so confused. We should take the cake too for the road." Molly shook her head. "No cake, just presents. We don't want to get greedy and get caught red handed at a kids party." "We have to be careful not to step on any toys or we'll make noise," Bill said. They agreed it was a solid if ridiculous plan. Their eyes sparkled with mischief as they envisioned the successful theft.
created_at"2026-09-01T14:08:31.711Z" 9/1/2026, 2:08:31 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency531
moderation_latency(null)
generation_time174828
tokens_prompt75
tokens_completion479
native_tokens_prompt267
native_tokens_completion10793
native_tokens_completion_images(null)
native_tokens_reasoning10560
native_tokens_cached256
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"completed"
service_tier"default"
usage0.064908
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271711-9jahd2JFXlj31q683gaG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271711-3mx91w4wRuSrHrhaTbX7"
upstream_id"23eeb43b-a03e-968d-ba32-25c7e3024e08"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"23eeb43b-a03e-968d-ba32-25c7e3024e08"
is_byokfalse
latency531
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.064908
cache_discount0.000384
upstream_inference_cost0
provider_name"xAI"
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
83.65% Dialogue to Total Word Ratio
Ratio: 56.50%, Deviation: 6.50%
neededCleanfalse
wordsTotal200
wordsDialogue113
91.8259%