Run: 2026-03-12-01KKHZ79N522TNQ1F8R2GQHNKE

Run Details

Duration:
36.4s
Cost:
$0.040806
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.6885% 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
Bill, the children's party is our next target. We go in during the games and take every single present said Molly. Take the presents? From kids? Molly you're evil but I like it. How do we blend in? replied Bill. Simple we dress as characters from that popular cartoon. No one will question two adults in costumes at a kid's party said Molly. But I hate costumes they itch. And what if they ask me to sing or dance? asked Bill. Then you dance badly and make them laugh. It'll be the best distraction. I'll use the moment to stuff the bags said Molly. What about security cameras? Parents love recording everything? asked Bill. We wear masks as part of the costume. It's perfect. After we have the loot we escape by pretending to be the entertainment that has to leave early said Molly. This could actually work. But I draw the line at eating the cake. That's where I say no said Bill. No one is eating the cake. We steal the presents not the dessert. Now let's practice our character voices said Molly. Okay but if this goes south it's on you said Bill. Wouldn't have it any other way partner said Molly.
created_at"2026-03-12T21:28:41.899Z" 3/12/2026, 9:28:41 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency35696
moderation_latency(null)
generation_time36018
tokens_prompt77
tokens_completion276
native_tokens_prompt184
native_tokens_completion6778
native_tokens_completion_images0
native_tokens_reasoning6542
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"
usage0.0408056
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"44796fbf-4349-4796-caf5-858a6a2685bc"
is_byokfalse
latency279
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-1773350921-TAob5ymjPS4GAr7OoHwU"
upstream_id"44796fbf-4349-4796-caf5-858a6a2685bc"
total_cost0.0408056
cache_discount0.0002304
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words205
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededCleanfalse
wordsTotal205
wordsDialogue0
49.6885%