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Run: 2026-03-18-01KM0ATWHXM95D1QWEM7WHBGJ3
Run Details
Model:
Mistral Small 4
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
3.4s
Cost:
$0.000184
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
28.21%
Dialogue to Total Word Ratio
(details)
63.7953%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
Messages
Meta
AI
The rain drummed against the slippery roof of the party venue as Molly and Bill crouched behind a ventilation unit, peering over the edge. Inside, the sounds of laughter and a birthday cake being sung to filled the air. Molly adjusted her ski mask, her eyes darting over the room. "You sure this is the right window, Bill? It's the third one we've checked." Bill scratched his nose, still disguised, and squinted. "Positive. That foil-wrapped present table under the unicorn piñata? That’s our target. Kids don’t check under tables until after cake—we’ve got maybe twenty minutes." Molly groaned. "What if we get caught hugging a toddler or something?" Bill smirked. "Then we distract with a magic trick. Like disappearing their favorite stuffed animal. Works every time." Molly rolled her eyes. "You’ve got a moral code for a children’s party thief." "Ethics keep us from ending up on *America’s Most Wanted*. Speaking of—" Bill pointed through the foggy glass. "There’s the unicorn." Molly bit her lip. "Fine. But if we have to apologize to any sobbing five-year-olds, I’m blaming you." Bill grinned. "Deal. And for the record, stealing from kids is just advanced asset reallocation."
created_at
"2026-03-18T11:21:00.235Z"
3/18/2026, 11:21:00 AM
model
"mistralai/mistral-small-2603"
1/1/2603, 12:00:00 AM
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
385
moderation_latency
(null)
generation_time
3274
tokens_prompt
77
tokens_completion
319
native_tokens_prompt
81
native_tokens_completion
287
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00018435
router
(null)
provider_responses
0
endpoint_id
"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id
"17585d85c24840389ecbc0c25a1f0b80"
is_byok
false
latency
385
model_permaslug
"mistralai/mistral-small-2603"
1/1/2603, 12:00:00 AM
provider_name
"Mistral"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1773832860-SF3KL7ilhDwAUEiuOTHw"
upstream_id
"17585d85c24840389ecbc0c25a1f0b80"
total_cost
0.00018435
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Mistral"
Evaluation details
Result
Evaluator
Details
Meta Data
99.38%
Matches word count
n/a
neededClean
false
words
195
28.21%
Dialogue to Total Word Ratio
Ratio: 60.61%, Deviation: 10.61%
neededClean
false
wordsTotal
198
wordsDialogue
120
63.7953%