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Run: 2026-10-13-01M4V1YKCEWA4YT3GWZ4JCBXR8
Run Details
Model:
Gemini 4 Argon (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
5.8s
Cost:
$0.003324
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
99.77%
Dialogue to Total Word Ratio
(details)
99.5725%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Molly unrolled the blueprints. "Okay, Bill. The target is little Timmy’s sixth birthday. The loot is on the patio table. We are talking top-tier Lego sets, high-end action figures, and at least four envelopes stuffed with grandma-grade cash." Bill adjusted his ski mask. "What kind of heat are we looking at, Molly? Security?" "Worse. Twenty sugar-crazed kindergarteners and a guy in a knock-off Spider-Man suit." "A vigilante? I didn't sign up for capes, Molly! What's our entry point?" "The bouncy castle. It provides perfect tactical cover. We belly-crawl past the juice-box station, neutralize the piñata to cause a diversion, and grab the gift bags." "Wait. If you break the piñata early, those toddlers will go feral. It'll be a bloodbath." "A candy bath, Bill! While they swarm the mini-Snickers, we load the laundry baskets with toys and make a break for the minivan." "What if the clown spots us?" "I packed two squirt guns filled with pure lemon juice. Aim for the big red nose." "Cold. I like it. Should I bring the crowbar?" "Bring the balloon-animal pump. We need to blend in." Bill nodded grimly, holstering the plastic pump. "Let's go ruin a childhood."
created_at
"2026-10-13T16:36:23.577Z"
10/13/2026, 4:36:23 PM
model
"google/gemini-4-argon-20261013"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1603
moderation_latency
(null)
generation_time
5821
tokens_prompt
75
tokens_completion
303
native_tokens_prompt
97
native_tokens_completion
313
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
0.003324
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791909383-srTpH39OssECxptXs3CK"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791909383-MaFmkcwzlflbGEX7Xivf"
upstream_id
"B17Oat7NJ_-c1MkP_bPm6A0"
provider_responses
0
endpoint_id
"4934736c-d662-4fe3-98eb-56def8c8c174"
id
"B17Oat7NJ_-c1MkP_bPm6A0"
is_byok
false
latency
1603
model_permaslug
"google/gemini-4-argon-20261013"
provider_name
"Google AI Studio"
status
200
total_cost
0.003324
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
99.38%
Matches word count
n/a
neededClean
false
words
195
99.77%
Dialogue to Total Word Ratio
Ratio: 92.20%, Deviation: 2.20%
neededClean
false
wordsTotal
205
wordsDialogue
189
99.5725%