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Run: 2026-10-13-01M4V1PFRRY0YEAX6K9F179XCC
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
5.4s
Cost:
$0.002896
Provider:
Google AI Studio
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 of *The Rolling Pin* chimed, letting in a draft of crisp autumn air that mingled with the warm, sugary scent of proofing dough and toasted pecans. Behind the glass display case, rows of glazed maple bars glistened under the soft yellow lights. Rain tapped a gentle rhythm against the front window, blurring the view of Main Street. "You're out of the lemon lavender scones." "Barnaby bought the last six at seven this morning. Claimed he needed the comfort food." "Comfort? His prize-winning dahlias were trampled, not murdered." "Try telling him that. Wait—is that blood on your gardening clogs?" "Beetroot juice. Mostly. Are you going to hand me that maple bar, or hold it hostage?" "Depends. Did you actually see Agatha near the greenhouse last night, or are you just stirring the pot?" "I saw her teal cardigan snag on the rosebushes. There isn't another sweater that hideous in all of Oakhaven." "That's hardly enough evidence to take to the Sheriff." "Which is why we aren't going to the Sheriff. Pass the napkins, and pour yourself a coffee. We have some snooping to do before the noon rush."
created_at
"2026-10-13T16:31:57.894Z"
10/13/2026, 4:31:57 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1224
moderation_latency
(null)
generation_time
5132
tokens_prompt
78
tokens_completion
289
native_tokens_prompt
98
native_tokens_completion
270
native_tokens_completion_images
0
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
(null)
usage
0.002896
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909117-R3aEgn4LyThaS2IMTt5n"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909117-dj7btZNWWxlaQzJ4VHod"
upstream_id
"_lzOasR_5J_7xg-jw6fIAg"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"_lzOasR_5J_7xg-jw6fIAg"
is_byok
false
latency
1224
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.002896
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Google AI Studio"
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)