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Run: 2026-05-10-01KR8VSS7BYKEZ870P1CVZWAAH
Run Details
Model:
Gemma 4 31B (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
8m 15s
Cost:
$0.002899
Provider:
Venice
Evaluation summary
Score
Evaluator
Details Link
75.16%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
87.5758%
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 a crude map across the greasy diner table, pointing a sharp nail at the sunroom layout. "The target is the gift table," she whispered. Bill sighed, leaning back in the cracked vinyl booth while nursing a lukewarm coffee. "It's a six-year-old's party, Molly." "Precisely. Maximum chaos. Minimum security." Bill gestured toward the oversized garment bags leaning precariously against the wall. "Are we really wearing these?" "The neon clown suits are essential for blending in," Molly insisted, her eyes gleaming. "I look like a giant, radioactive marshmallow." "Focus, Bill! At 1400 hours, the cake arrives. That is our primary window." Bill shifted uncomfortably, glancing at the diner door to ensure they weren't being watched. "What if someone notices we aren't actual entertainers?" "Just juggle some balloons and look frantic. No one questions a frantic clown." "I can't juggle," Bill admitted with a frown. "Then drop them. It adds to the comedy." Bill groaned, rubbing his temples with a look of deep regret. "I hate this plan." "You love the loot. Now, practice your honking." Molly handed him a red rubber nose with a menacing, toothy grin.
created_at
"2026-05-10T12:01:35.145Z"
5/10/2026, 12:01:35 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
706
moderation_latency
(null)
generation_time
52195
tokens_prompt
77
tokens_completion
4502
native_tokens_prompt
82
native_tokens_completion
5770
native_tokens_completion_images
(null)
native_tokens_reasoning
4211
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
0.00289935
router
(null)
provider_responses
0
endpoint_id
"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
id
"chatcmpl-898a72bae754f2be"
is_byok
false
latency
513
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Venice"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778414495-dH8vC7S3VCGsHjCcpME1"
session_id
(null)
api_type
"completions"
id
"gen-1778414495-CSCMnyKM3gJCbuIQFNJG"
upstream_id
"chatcmpl-898a72bae754f2be"
total_cost
0.00289935
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Venice"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
75.16%
Matches word count
n/a
neededClean
false
words
187
100.00%
Dialogue to Total Word Ratio
Ratio: 50.79%, Deviation: 0.79%
neededClean
false
wordsTotal
189
wordsDialogue
96
87.5758%