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Run: 2026-05-10-01KR91SDBB5GPT8RCMJTEQNTQ9
Run Details
Model:
Gemma 4 26B (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
2m 39s
Cost:
$0.008969
Provider:
SiliconFlow
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9920%
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 neon-colored blueprint across the grease-stained wooden table. She tapped a gloved finger on a drawing of a bouncy castle. "This is our extraction point, Bill. The Lego sets are tucked under the gift table." Bill wiped chocolate frosting from his chin and squinted. "What about the clown? He looks suspicious." "It’s a teenager in face paint, not a mercenary," Molly snapped irritably. "We enter during the piñata smash. The chaos will mask our exit." "But the juice boxes, Molly! They’re everywhere!" Bill gestured wildly at the map. "It's a sticky minefield." Molly grabbed his collar, pulling him close. "We aren't here for juice. We want the high-value loot. The Nintendo Switches, the remote-controlled drones, the scented markers." Bill sighed, his eyes glazing over. "I suppose I could bring the extra-strength napkin wipes." "Precisely. Now, check your tactical diaper bag again." "Is it ready?" Bill asked nervously. "It is now fully loaded with juice," she replied calmly. She watched him fumble with his gear. The mission was high-stakes, glittery, and potentially very loud. He reached into his pockets, pulling out multicolored confetti and a gummy bear. The sugar-fueled chaos of the birthday party awaited them all.
created_at
"2026-05-10T13:38:51.891Z"
5/10/2026, 1:38:51 PM
model
"google/gemma-4-26b-a4b-it-20260403"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2210
moderation_latency
(null)
generation_time
157683
tokens_prompt
77
tokens_completion
16167
native_tokens_prompt
82
native_tokens_completion
22397
native_tokens_completion_images
(null)
native_tokens_reasoning
15846
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
0.00896864
router
(null)
provider_responses
0
endpoint_id
"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id
"chatcmpl-88e1f9115e8f75d3"
is_byok
false
latency
2199
model_permaslug
"google/gemma-4-26b-a4b-it-20260403"
provider_name
"SiliconFlow"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778420331-HjUw01xaAcdGM6fBHF7M"
session_id
(null)
api_type
"completions"
id
"gen-1778420331-GFwU3J0nWr0v5QLBeKWW"
upstream_id
"chatcmpl-88e1f9115e8f75d3"
total_cost
0.00896864
cache_discount
(null)
upstream_inference_cost
0
provider_name
"SiliconFlow"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
198
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
204
wordsDialogue
102
99.9920%