Run: 2026-09-25-01M3CKENXJMP2DCP56CZX0T9VF

Run Details

Duration:
3.2s
Cost:
$0.002237
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
55.9718% 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? Parents are too busy herding sugar-crazed toddlers to notice us." "But what if a kid sees us?" "Then we tell ‘em we’re the entertainment. I’ll juggle, you do… whatever it is you do." "I don’t juggle." "Then we bribe ‘em with candy. Kids love candy." "And if they ask why we’re taking the presents?" "We say we’re Santa’s helpers. Early retirement plan." "Bill, it’s July." "Details. Look, the cake’s at noon, the gifts are under the table, and the parents are distracted by tiny humans covered in frosting. We’re in and out in five." "Five? With that many presents?" "Fine, ten. But if we get caught, we’re just the world’s most enthusiastic party crashers." "Or the world’s worst." "Either way, we’re getting those LEGO sets. Now, you in or out?" "In. But if I have to listen to one more round of ‘Baby Shark,’ I’m taking you down with me." "Deal. Now grab the bag and try to look less like a criminal." "Too late."
created_at"2026-09-25T15:37:57.945Z" 9/25/2026, 3:37:57 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency459
moderation_latency(null)
generation_time3170
tokens_prompt75
tokens_completion289
native_tokens_prompt81
native_tokens_completion282
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"
usage0.0022365
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350677-HFUJ4mZZYglEsrHLEKuM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350677-B6eNgJneXTo6kr7ewhYf"
upstream_id"4d4d7b12a9a049d48d466842dd992a76"
provider_responses
0
endpoint_id"38ef23a9-5cb3-46fa-85ec-7aed174f04eb"
id"4d4d7b12a9a049d48d466842dd992a76"
is_byokfalse
latency457
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0022365
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
75.16% Matches word count n/a
neededCleanfalse
words187
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal188
wordsDialogue188
55.9718%