Run: 2026-10-07-01M4ATCD4JSNQ65WF7260FS1QK

Run Details

Duration:
2m 41s
Cost:
$0.024751
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
98.91% Dialogue to Total Word Ratio (details)
99.4537% 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
The alley smelled like desperation. Molly adjusted her mask. "You're certain a thirty-seven-year-old man in a sequined vest won't raise suspicion at a seven-year-old's birthday party?" "Seven-year-olds are terrible at facial recognition. I brought candy to bribe skeptical toddlers." "Bill, we are stealing the candy." "So I brought a backup stash. I'm a professional." They crouched behind a dumpster. "The piñata is on the table by the cake. See? The big X marks the location of the premium presents." "Molly, that's not an X. That's a dinosaur eating a cupcake." "It's abstract genius. The parents will be distracted by cake, and the kids will be hyped on sugar. We hit the gift table during the piñata frenzy." "What if Timmy recognizes my clown nose from that mattress commercial?" "You didn't do a commercial." "Local access. Terrible makeup." "Fine. I'll release the helium balloons. Total chaos ensues. You grab the loot while we escape through the bounce house." "And if parents tackle us?" "We cry. Sobbing adults totally confuse parents into backing away slowly." "You're a mastermind." "Do I look non-threatening in this tutu?" "You look like a convicted man who shouldn't be near children." "Perfect. Let's steal some Legos."
created_at"2026-10-07T09:16:16.41Z" 10/7/2026, 9:16:16 AM
model"mistralai/mistral-large-4-0-20261006"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency613
moderation_latency(null)
generation_time161155
tokens_prompt75
tokens_completion9322
native_tokens_prompt67
native_tokens_completion11821
native_tokens_completion_images(null)
native_tokens_reasoning8998
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"
usage0.02475145
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364576-GvITb5Hx55SjR7jldAIq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364576-RFJkfT2QnfIaTwtwwpYy"
upstream_id"bd36e6de0d984125a279cc41b4d3aceb"
provider_responses
0
endpoint_id"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id"bd36e6de0d984125a279cc41b4d3aceb"
is_byokfalse
latency592
model_permaslug"mistralai/mistral-large-4-0-20261006"
provider_name"Mistral"
status200
total_cost0.02475145
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
100.00% Matches word count n/a
neededCleanfalse
words199
98.91% Dialogue to Total Word Ratio
Ratio: 93.24%, Deviation: 3.24%
neededCleanfalse
wordsTotal207
wordsDialogue193
99.4537%