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Run: 2026-09-25-01M3CKFG9F88DW3F6PCKT6FQ4D
Run Details
Model:
Mistral Medium 3.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
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? 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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
367
moderation_latency
(null)
generation_time
3117
tokens_prompt
75
tokens_completion
276
native_tokens_prompt
81
native_tokens_completion
267
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
0.002124
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_byok
false
latency
367
model_permaslug
"mistralai/mistral-medium-3.5-20260430"
provider_name
"Mistral"
status
200
total_cost
0.002124
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
0.49%
Matches word count
n/a
neededClean
false
words
173
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
176
wordsDialogue
176
18.6400%