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Run: 2026-05-10-01KR90HRD1QXM9Q2CKBZKT0YYW
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
9.5s
Cost:
$0.000159
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
43.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
21.6892%
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 crayon-drawn map across the sticky table. "The target is the bounce house." Bill squinted at the drawing. "Why is the cake a volcano?" "Strategic distraction, Bill. Focus. We hit the gift pile at exactly 3:00 PM during the piƱata chaos." "I can't do it," Bill whispered, sweating. "The noise. The sugar-highs. It's a war zone." "You're a professional thief! Just put on the oversized panda suit and blend in." Bill looked at the plush costume. "I'm allergic to synthetic faux-fur." "Suck it up. Do you want the Lego sets or not?" "Fine, but I'm not wearing the tutu." "The tutu is for aerodynamics, you amateur." "Aerodynamics for what? It's a backyard in suburbia!" "For a quick getaway when the toddlers swarm," Molly snapped. "Now, check the perimeter for juice box spills." "Is there a backup plan if the clown sees us?" "If the clown talks, we frame him." "I like the way you think," Bill admitted, stepping into the suit. "Do I look like a panda or a giant marshmallow?" "You look like a getaway driver," Molly sighed. "Now move!"
created_at
"2026-05-10T13:17:12.488Z"
5/10/2026, 1:17:12 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
486
moderation_latency
(null)
generation_time
9363
tokens_prompt
77
tokens_completion
288
native_tokens_prompt
79
native_tokens_completion
287
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
0.0001593
router
(null)
provider_responses
0
endpoint_id
"69279254-6a96-4e9d-abc6-ea76e6bf8e97"
is_byok
false
latency
48
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Novita"
status
429
1
endpoint_id
"576fca5b-f09c-4bda-b560-9989c39ac3ab"
id
"oiXoQJL-zfFMX-9f993909815053cb"
is_byok
false
latency
486
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Together"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778419032-YKB7K4uQh8fVikcwjDNs"
session_id
(null)
api_type
"completions"
id
"gen-1778419032-cduiED8w8jEPY0FGKYaF"
upstream_id
"oiXoQJL-zfFMX-9f993909815053cb"
total_cost
0.0001593
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
43.38%
Matches word count
n/a
neededClean
false
words
183
0.00%
Dialogue to Total Word Ratio
Ratio: 81.72%, Deviation: 31.72%
neededClean
false
wordsTotal
186
wordsDialogue
152
21.6892%