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Run: 2026-02-20-01KHYADWQK6HWJYA6B4S8XWCGT
Run Details
Model:
Gemma 3 27B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
7.2s
Cost:
$0.000046
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
99.91%
Dialogue to Total Word Ratio
(details)
49.9558%
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
“Right, so inflatable castle, confirmed?” Molly asked, sketching furiously in a notebook. “Confirmed. Three-year-old terror zone, apparently. Distraction central,” Bill replied, polishing his glasses with a slightly grubby handkerchief. “Excellent. And the parents?” “Totally engrossed in polite conversation about organic quinoa and screen time. Blind as bats.” “Good, good. Now, the presents. Intelligence suggests a significant haul. LEGO, apparently.” “LEGO? Molly, are you serious? We’re risking jail time for plastic bricks?” “High-value plastic bricks, Bill! Think resale! Think early retirement!” “Retirement? We’re barely out of our twenties!” “Details, details. Okay, you create a diversion. Maybe ‘accidentally’ release all the party balloons?” “Classic. But effective. What about you?” “I’m going for the gift bags. Swift, silent, surgical. Present acquisition commencing in five…” “Wait, five what? Minutes? Molly, you didn’t tell me the timing!” “Of course I did! It’s written right here! …Oh. Never mind.”
created_at
"2026-02-20T20:04:01.916Z"
2/20/2026, 8:04:01 PM
model
"google/gemma-3-27b-it"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
468
moderation_latency
(null)
generation_time
6989
tokens_prompt
93
tokens_completion
307
native_tokens_prompt
75
native_tokens_completion
250
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.000046
router
(null)
provider_responses
0
endpoint_id
"8f22002c-c045-446f-a1b9-9896133536b8"
id
"chatcmpl-RUAnVTJMBCVY3TJIwQxDzwWo"
is_byok
false
latency
67
model_permaslug
"google/gemma-3-27b-it"
provider_name
"DeepInfra"
status
200
api_type
"completions"
id
"gen-1771617841-rq60J81EdoG7UYOZt4GR"
upstream_id
"chatcmpl-RUAnVTJMBCVY3TJIwQxDzwWo"
total_cost
0.000046
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
145
99.91%
Dialogue to Total Word Ratio
Ratio: 88.28%, Deviation: 1.72%
neededClean
false
wordsTotal
145
wordsDialogue
128
49.9558%