Run: 2026-03-12-01KKHZ1GG6E2R4JVQ8BN60A077

Run Details

Duration:
25.5s
Cost:
$0.040476
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
99.99% Dialogue to Total Word Ratio (details)
63.5801% 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 and Bill hid in the shadows of the fence surrounding the lively children's party venue. Balloons bobbed in the breeze while excited kids ran around inside the decorated house. The duo had mapped out every detail of their daring plan to relieve the birthday child of all those shiny wrapped presents. Their outfits were ready, ridiculous clown suits that would allow them to blend in among the other entertainers. Molly peered through a gap in the fence assessing the situation carefully. "We dress up as clowns to break into the children's party now" she said to Bill. Bill answered "Okay and we steal all the presents fast." It was almost time for the cake to be served which would provide the perfect distraction for their operation. They double checked their tools which included bags for the loot and masks in case things got complicated. The van was waiting two blocks away with the engine off to avoid suspicion. Success would mean a hefty haul of toys that could be sold quickly on the streets. Failure would result in them becoming the laughing stock of the criminal underworld. With a nod to each other they prepared to make their move into the fray. The air hummed with birthday songs as the thieves adjusted their floppy shoes one last time.
created_at"2026-03-12T21:25:32.298Z" 3/12/2026, 9:25:32 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24723
moderation_latency(null)
generation_time25393
tokens_prompt77
tokens_completion316
native_tokens_prompt184
native_tokens_completion6723
native_tokens_completion_images0
native_tokens_reasoning6481
native_tokens_cached128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0404756
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"2a0f7693-7948-cca7-ef87-8c8d9b2ff28a"
is_byokfalse
latency324
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773350732-oWDeOoQPE0XqLtzdCSS6"
upstream_id"2a0f7693-7948-cca7-ef87-8c8d9b2ff28a"
total_cost0.0404756
cache_discount0.0002304
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words219
99.99% Dialogue to Total Word Ratio
Ratio: 9.13%, Deviation: 0.87%
neededCleanfalse
wordsTotal219
wordsDialogue20
63.5801%