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Run: 2026-05-10-01KR92CAWQ0Y1AHJ8MS76N7ASD
Run Details
Model:
Gemma 4 26B (Reasoning)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
47.5s
Cost:
$0.000681
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
100.00%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The scent of warm sourdough and caramelized sugar hung heavy in the air, a comforting veil against the drizzly morning outside. Through the fogged glass of the display case, the lemon tarts glowed like little pieces of sunshine against the flour-dusted wood. "Is that a new recipe, Clara?" "Just a little experiment with lavender and local honey." "Lavender? It feels a bit... somber, doesn't it?" "Don't be morbid, Arthur. It’s meant to be soothing." "Speaking of soothing, did you see the cruiser parked outside the florist's this morning?" "I try to keep my eyes on the oven, not the street." "Well, they weren't looking at the lilies. They were peering through the back window." "The back window? That's where the delivery entrance is." "Exactly. And they weren't alone. Mrs. Gable was there too, looking quite pale." "She was in here an hour ago. She seemed perfectly fine." "Maybe she was just putting on a brave face. Or maybe she saw something she shouldn't have." A tray of cinnamon rolls clattered onto the counter, the sudden metallic ring cutting through the low hum of the refrigerator.
created_at
"2026-05-10T13:49:11.967Z"
5/10/2026, 1:49:11 PM
model
"google/gemma-4-26b-a4b-it-20260403"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
234
moderation_latency
(null)
generation_time
37322
tokens_prompt
81
tokens_completion
2105
native_tokens_prompt
83
native_tokens_completion
1986
native_tokens_completion_images
(null)
native_tokens_reasoning
1808
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
0.00068105
router
(null)
provider_responses
0
endpoint_id
"d99bcbe6-bec3-4991-965e-45fea79fe63c"
is_byok
false
latency
10081
model_permaslug
"google/gemma-4-26b-a4b-it-20260403"
provider_name
"DekaLLM"
status
504
1
endpoint_id
"d71c6981-347d-4622-a86b-2c9e5d0f2c6c"
id
"chatcmpl-RXCWiD5XYCQZ6d7No7gfxJVh"
is_byok
false
latency
50
model_permaslug
"google/gemma-4-26b-a4b-it-20260403"
provider_name
"DeepInfra"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778420951-B5gzOw5EVAA3kHd0XfJc"
session_id
(null)
api_type
"completions"
id
"gen-1778420951-2xl8gSHZuu9qVYnZsBji"
upstream_id
"chatcmpl-RXCWiD5XYCQZ6d7No7gfxJVh"
total_cost
0.00068105
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)