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Run: 2026-10-07-01M4ATP0K29HJAQDJ3VDX3PN79
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
53.5s
Cost:
$0.008201
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 morning light filtered through lace curtains as the bell above the door chimed. Margie stepped inside, cinnamon dusting her cardigan. Behind the counter, Mrs. Peabody arranged a tray of scones, her spectacles perched on her nose. "Did you hear about the library?" "Hear what, exactly?" "Someone slipped a ransom note inside a cookbook. Page one-thirty-seven, tucked between the raspberry tarts and the scones." "Ransom? In a culinary mystery?" "That's what the note says. 'I have your secret ingredient. Meet me at dawn, or the recipe dies.'" "Who would threaten a baker over a scone recipe?" "That's what I'm trying to figure out. The handwriting looks like Mrs. Henderson's, but the paper smells like lavender and old books. Very distinctive." "You think it's a prank?" "I think someone's hiding something sweet. Literally. The librarian found crumbs inside the bookâshortbread, I think, with a hint of almond." "Should we call Sheriff Joe?" "Not yet. Let's investigate ourselves. We're good at mysteries, aren't we? We solved the case of the missing pie last summer." "We're excellent at gossip." "Same thing, really. Now, pass me that cinnamon, would you? We'll need it for the stakeout."
created_at
"2026-10-07T09:21:31.243Z"
10/7/2026, 9:21:31 AM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
561
moderation_latency
(null)
generation_time
53474
tokens_prompt
78
tokens_completion
3827
native_tokens_prompt
67
native_tokens_completion
3902
native_tokens_completion_images
(null)
native_tokens_reasoning
3523
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
0.00820074
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791364891-8D0dDGZwoeExLxvbiCIh"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791364891-mVOJOxnjZ1ofph7M097W"
upstream_id
"12a96b0b76da4388ad5d6dd59601677f"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"12a96b0b76da4388ad5d6dd59601677f"
is_byok
false
latency
544
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.00820074
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)