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Run: 2026-10-06-01M48VTDQSHXQKAPD94BW15YYB
Run Details
Model:
Mistral Large 4.0
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
7.6s
Cost:
$0.000651
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
60.65%
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 chimed, and warm cinnamon air wrapped around her shoulders. "Morning, Clara. The sourdough's still proofing, but the cardamom knots are fresh." "Perfect. I'll take two, and whatever's behind the counter that looks suspicious." "Everything looks suspicious when you're a mystery writer." "Everything *is* suspicious when you're a mystery writer. That's the point." She set a worn paperback on the glass case—*The Locked Library*—and tapped the spine. "Chapter seven. The baker finds the body in the bread oven." "At nine in the morning?" "Mystery bakers work early. Dramatic bakers work *earlier*." A laugh, flour-dusted and genuine. "Speaking of dramatic, Mrs. Pembridge's cat went missing again. Third time this month." "Poisoned scones?" "She'd never. She *loves* that cat." "Then someone else does." The bell chimed again. A man in a tweed cap entered, shaking rain from his shoulders, and the conversation paused—two women watching, wondering, already turning the newcomer into a character, already suspecting. "Two cardamom knots,"
she said finally
. "And a coffee. Black. Like my soul." "Coming right up, Clara."
created_at
"2026-10-06T15:02:55.487Z"
10/6/2026, 3:02:55 PM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1216
moderation_latency
(null)
generation_time
7605
tokens_prompt
78
tokens_completion
300
native_tokens_prompt
79
native_tokens_completion
286
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
0.00065146
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791298975-tmSLc47RPibQp2hHcftn"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791298975-Rmkc7TZojemSWTWMeEPV"
upstream_id
"d80e74d5da574d27b8c2ba4d5feba4dd"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"d80e74d5da574d27b8c2ba4d5feba4dd"
is_byok
false
latency
1215
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.00065146
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
60.65%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"she said finally"