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Run: 2026-09-25-01M3CKENXJMP2DCP56CZX0T9VF
Run Details
Model:
Mistral Medium 3.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
459
moderation_latency
(null)
generation_time
3170
tokens_prompt
75
tokens_completion
289
native_tokens_prompt
81
native_tokens_completion
282
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)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
"default"
usage
0.0022365
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_byok
false
latency
457
model_permaslug
"mistralai/mistral-medium-3.5-20260430"
provider_name
"Mistral"
status
200
total_cost
0.0022365
cache_discount
(null)
upstream_inference_cost
0
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
neededClean
false
words
187
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
188
wordsDialogue
188
55.9718%