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Run: 2026-06-01-01KT1H4A9FDK9KWKBQ633EC5JD
Run Details
Model:
MiniMax M3
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
17.1s
Cost:
$0.000444
Provider:
Minimax
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 chimed as Margaret wiped flour from her hands onto her apron. "Two dozen lemon bars, and I swear they're for the church social, not because you're sweet on Pastor Whitfield." "Honestly, Marge, the man has discerning taste. That's all." "The man has discerning teeth. Yours are a different story." Marge laughed, reaching for the display case. "Speaking of discerning, did you hear about Dolores? Found a whole sack of her prize-winning rhubarb stems sliced clean through this morning. Right at the base." "Every single one?" "Every last stalk. And her entry was due at the fair tomorrow. Fifteen years she's taken blue ribbon." Outside, the morning light caught the old streetlamps lining Main. A delivery truck rumbled past, its brakes squealing at the corner of Birch and Holloway. "Well. I suppose someone finally got tired of losing to her." "Margaret, that is *terrible*." "I didn't say I did it. I said someone did." She slid a box across the counter, lemon bars nestled in wax paper. "You know who was over there last night? Hank Briggs. Came in around seven wanting a pie. Pecan. Seemed nervous as a cat in a room full of rocking chairs."
created_at
"2026-06-01T12:04:26.035Z"
6/1/2026, 12:04:26 PM
model
"minimax/minimax-m3-20260531"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
879
moderation_latency
(null)
generation_time
17093
tokens_prompt
81
tokens_completion
424
native_tokens_prompt
237
native_tokens_completion
355
native_tokens_completion_images
(null)
native_tokens_reasoning
114
native_tokens_cached
223
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
(null)
usage
0.00044358
router
(null)
provider_responses
0
endpoint_id
"6851b352-a7e2-45ad-a69e-67ed1208a416"
id
"066ca84a3bdcacb506a46c2412e802a9"
is_byok
false
latency
879
model_permaslug
"minimax/minimax-m3-20260531"
provider_name
"Minimax"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer
(null)
request_id
"req-1780315466-G1H32j8T2BXjfX4dEPx9"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1780315466-2Y3K3QZJutCE5BYltxfI"
upstream_id
"066ca84a3bdcacb506a46c2412e802a9"
total_cost
0.00044358
cache_discount
0.00010704
upstream_inference_cost
0
provider_name
"Minimax"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)