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Run: 2026-05-10-01KR8X4AR0CR3H8P40YNY925S7
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
8.5s
Cost:
$0.000114
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
86.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
43.1902%
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 suburban living room across the table. "The target is the gift pile by the cake," she whispered. Bill frowned, chewing on a toothpick. "Why are we wearing oversized clown shoes, Molly?" "For stealth, Bill! No one suspects a clown," she snapped. "We enter through the patio, bypass the juice boxes, and grab the loot." "What about the kids?" Bill asked. "They’re feral. I saw a six-year-old tackle a golden retriever earlier." Molly rolled her eyes. "That is why we have the tactical diversion." She produced a bag of glittery confetti cannons. "On my signal, you blast the toddlers. While they are blinded by the sparkles, I scoop the LEGO sets and iPads into the sack." "And if the parents catch us?" Bill worried. "We pretend to be hired entertainment," she replied. "Can you juggle?" Bill looked at his clumsy hands. "I can almost balance a plate on my nose." "Pathetic," Molly sighed. "Just hold the bag and try not to trip over your toes. We move at 14:00 hours, right before the piñata massacre begins." "Got it," Bill murmured. "I'll bring the balloons."
created_at
"2026-05-10T12:17:26.793Z"
5/10/2026, 12:17:26 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
102
moderation_latency
(null)
generation_time
8100
tokens_prompt
77
tokens_completion
291
native_tokens_prompt
79
native_tokens_completion
274
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
0.00011439
router
(null)
provider_responses
0
endpoint_id
"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
is_byok
false
latency
105
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Venice"
status
429
1
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-RFyH0ohs6OMEoKg3xjzREchP"
is_byok
false
latency
50
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-1778415446-uu5icowKGdPYOPxH5vwK"
session_id
(null)
api_type
"completions"
id
"gen-1778415446-nZLekbKrH9QLNs0SwmNP"
upstream_id
"chatcmpl-RFyH0ohs6OMEoKg3xjzREchP"
total_cost
0.00011439
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
86.38%
Matches word count
n/a
neededClean
false
words
189
0.00%
Dialogue to Total Word Ratio
Ratio: 73.82%, Deviation: 23.82%
neededClean
false
wordsTotal
191
wordsDialogue
141
43.1902%