Run: 2026-05-10-01KR90Y835ZTPTW64XJ6ERS3XP

Run Details

Model:
Grok 4.3
Duration:
9.6s
Cost:
$0.000915
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
81.27% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
59.0303% 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
"Molly, we hit the Riley bash at seven, their son’s turning eight and the loot’ll be stacked to the ceiling.” “Bill, we can’t just waltz in—kids’ll scream the second they spot us grabbing Pokémon boxes.” “Relax, we sling on those dinosaur suits in the van. We blend right in with the reptile theme. Parents sip margaritas; we pilfer.” “Margaritas, sure, but the loot’s guarded by every soccer mom clutching Tupperware. You think a tyrannosaurus tail hides sixty gift bags?” “Sixty? We’ll be rich on Lego alone. I grab the haul, you flash that ‘lost balloon’ excuse and keep the brats singing karaoke.” “Lost balloon? Brilliant until Timothy’s dad tackles the green dinosaur rummaging through the goodie corner.” “Fine, plan B: you spike the punch with sparkly vitamins, everyone crashes by eight-fifteen. I load the sled.” “I’m not wearing the sled again; my back still hates me from the PTA raffle heist.” “Wear the antlers instead, grandma—antlers scream festive thief. We’ll be out before the magic show ends.” “Magic show? You mean the clown who’s really undercover security? One balloon animal and we’re toast.” “Shut your piehole; we split the haul fifty-fifty, minus my tail rental fee. Deal?” “Deal, but next time we pick grandparents’ parties—less screaming and way better watches.”
created_at"2026-05-10T13:24:01.772Z" 5/10/2026, 1:24:01 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency637
moderation_latency(null)
generation_time9551
tokens_prompt77
tokens_completion373
native_tokens_prompt182
native_tokens_completion302
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
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"
usage0.0009153
router(null)
provider_responses
0
endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"c9b66329-028f-91ca-b2f6-8786bdc3fa98"
is_byokfalse
latency104
model_permaslug"x-ai/grok-4.3-20260430"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419441-bJOdvEqT2sitnjLtfVzj"
session_id(null)
api_type"completions"
id"gen-1778419441-5ufBsXGlsL6ZKzVcFdNf"
upstream_id"c9b66329-028f-91ca-b2f6-8786bdc3fa98"
total_cost0.0009153
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
81.27% Matches word count n/a
neededCleanfalse
words212
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal214
wordsDialogue214
59.0303%