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Run: 2026-05-10-01KR8Z8KEPFF2NGT3WNMYFC4T7
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
11.3s
Cost:
$0.000109
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
2.01%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
1.0058%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 spread the blueprint of the bouncy castle across the table. "Phase one is the distraction," she whispered. Bill frowned. "Why are we wearing oversized clown shoes?" "Stealth, Bill. If we blend in, we are invisible," Molly countered. "I can't sneak in sequins," he groaned. "And why are the targets wrapped in glittery paper?" "Because those are the luxury Lego sets, you idiot," she snapped. "We hit the gift table at exactly 3:00 PM during the cake disaster." Bill squinted at the map. "What happens if a toddler catches us?" "You use the emergency diversion," Molly replied. "The bubbles?" "Exactly. One blast of the bubble machine and those kids will be hypnotized for ten minutes. We scoop the loot and vanish through the hedge." "I still hate the shoes," Bill muttered. "Shut up and practice your balloon animal," she commanded. "The dog needs to look convincing." Bill sighed, struggling with a long pink balloon. "I'm a professional thief, not a party entertainer." "Today, you are both," Molly grinned. "Now, let's go steal some plastic bricks."
created_at
"2026-05-10T12:54:43.933Z"
5/10/2026, 12:54:43 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
257
moderation_latency
(null)
generation_time
11202
tokens_prompt
77
tokens_completion
286
native_tokens_prompt
79
native_tokens_completion
259
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
(null)
usage
0.00010869
router
(null)
provider_responses
0
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-RJPmo6Vudg6qjl0z7Uuckumq"
is_byok
false
latency
47
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"DeepInfra"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778417683-UY1plq8YOAZyoQ9RXf1c"
session_id
(null)
api_type
"completions"
id
"gen-1778417683-zt209jqkV16jE6lRRgh3"
upstream_id
"chatcmpl-RJPmo6Vudg6qjl0z7Uuckumq"
total_cost
0.00010869
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
2.01%
Matches word count
n/a
neededClean
false
words
175
0.00%
Dialogue to Total Word Ratio
Ratio: 76.00%, Deviation: 26.00%
neededClean
false
wordsTotal
175
wordsDialogue
133
1.0058%