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Run: 2026-09-25-01M3CKH9QMDKGW5N9KRRMMFVVM
Run Details
Model:
Mistral Medium 3.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
4.4s
Cost:
$0.002213
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
100.00%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The bell above the door jingled as the scent of cinnamon and warm bread wrapped around them. "Morning. The usual?" "Please. And maybe one of those new almond croissants—if they’re as good as the rumors say." "Rumors? In this town, everything’s a rumor until it’s a scandal." "True. Speaking of, did you hear about the flower show?" "Of course. Half the garden club’s in a tizzy. Someone swapped Mrs. Peabody’s prize roses with weeds overnight." "Sounds like the work of that mischievous cat of hers." "Or someone with a grudge. You know how competitive she gets." "Still, weeds? That’s just mean." "Maybe. Or maybe it’s justice. Remember last year when she ‘accidentally’ knocked over Mr. Holloway’s prize-winning pumpkins?" A laugh bubbled up. "You think he’s behind it?" "Wouldn’t put it past him. But if he is, he’s smarter than I gave him credit for." The croissant was slid across the counter, golden and flaky. "Well, if it’s him, I hope he at least left a note. A little mystery’s fun, but outright theft? That’s just rude." "Since when do thieves care about manners?"
created_at
"2026-09-25T15:39:23.776Z"
9/25/2026, 3:39:23 PM
model
"mistralai/mistral-medium-3.5-20260430"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
461
moderation_latency
(null)
generation_time
4335
tokens_prompt
78
tokens_completion
292
native_tokens_prompt
80
native_tokens_completion
279
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
0.0022125
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790350763-lwTE0H1aVVtg9C1Yc9YD"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790350763-pmbPilvrzbJvgXFBLMCd"
upstream_id
"306eb369a82d421fa3fc926198e0119b"
provider_responses
0
endpoint_id
"d21d316f-d540-4718-b36e-3beff85d0cf9"
id
"306eb369a82d421fa3fc926198e0119b"
is_byok
false
latency
461
model_permaslug
"mistralai/mistral-medium-3.5-20260430"
provider_name
"Mistral"
status
200
total_cost
0.0022125
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
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)