Run: 2026-09-25-01M3CKFG9F88DW3F6PCKT6FQ4D

Run Details

Duration:
3.2s
Cost:
$0.002124
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
0.49% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
18.6400% 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
"Alright, Bill, we’re really doing this? A kids’ party?" "Molly, where else are you gonna find a room full of unguarded loot? These parents are too busy sipping punch to notice a couple of pros." "But it’s a clown-themed party. You hate clowns." "I hate getting caught more. Besides, we’ll be in and out before the balloon animals start crying." "And the cake? We can’t just leave the cake." "Focus, Molly. Presents first, cake second. Maybe a slice for the road." "Fine. But if we get caught, I’m blaming the guy who suggested robbing a bunch of five-year-olds." "Relax. Kids are easy. Distract ‘em with a magic trick, and they’ll forget their own names." "You do the magic trick. I’ll handle the presents." "Deal. But if one of them starts crying, you’re on cleanup duty." "Cleanup? What, like bribes?" "Exactly. Lollipops are the universal currency of childhood." "Great. So we’re thieves *and* babysitters now." "Only until the presents are in the van. Then we’re ghosts." "Ghosts who smell like cotton candy and regret."
created_at"2026-09-25T15:38:24.952Z" 9/25/2026, 3:38:24 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency367
moderation_latency(null)
generation_time3117
tokens_prompt75
tokens_completion276
native_tokens_prompt81
native_tokens_completion267
native_tokens_completion_images(null)
native_tokens_reasoning0
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"default"
usage0.002124
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350704-Uikas6eLz9069b7vZJCe"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350704-x4kXA05s3PEPnfzccnJJ"
upstream_id"25c23e892c6a432ab6b07db90dbebbcf"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"25c23e892c6a432ab6b07db90dbebbcf"
is_byokfalse
latency367
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.002124
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.49% Matches word count n/a
neededCleanfalse
words173
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal176
wordsDialogue176
18.6400%