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Run: 2026-10-07-01M4ATBWSWYKC15BVFHAATPPEV
Run Details
Model:
Mistral Large 4.0 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
6m
Cost:
$0.039455
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9992%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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
The warehouse smelled of mothballs, old socks, and poor decisions. Molly spread a crayon-drawn map across the rickety card table while Bill chewed a stolen grape lollipop with the intense focus of a bomb defuser. He stared at the suburban address circled in purple crayon marker. "Juice boxes and cake," he muttered. Molly adjusted her sequined balaclava. The Henderson brat's Saturday afternoon party held forty unopened LEGO presents worth twelve thousand dollars. She had already calculated the bounce house exit strategy and mapped every snack table vulnerability in detail. She leaned close enough that Bill smelled the grape bubblegum. She whispered they would pose as entertainers with him as the world-class legendary magician. Bill swallowed hard, his throat suddenly very dry. "I don't know magic." Molly patted his shoulder reassuringly. She noted that professional thieves vanished things while unsuspecting parents applauded, loading SUVs with glitter-covered birthday loot. Outside, a clown car backfired. Bill flinched. "Security?" "Just one," Molly whispered. "You're perfect," she added. "Then we feast." Bill grabbed his duffel bag, grinning. "Let's steal childhood." Molly adjusted her loot sack beneath her mask. Tonight they would become the Grinch, but with significantly better parking and less guilt about the vegetables.
created_at
"2026-10-07T09:15:59.684Z"
10/7/2026, 9:15:59 AM
model
"mistralai/mistral-large-4-0-20261006"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3039
moderation_latency
(null)
generation_time
360283
tokens_prompt
75
tokens_completion
15351
native_tokens_prompt
67
native_tokens_completion
18856
native_tokens_completion_images
(null)
native_tokens_reasoning
15008
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
"default"
usage
0.0394546
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791364559-fp3iDluF2l1kvvsLvum6"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791364559-IULhJVrthguMbpgNtIww"
upstream_id
"b33e4d8141384279ae07a74c261797f2"
provider_responses
0
endpoint_id
"19b3b5d7-23f6-4b63-8109-64a6cc37d996"
id
"b33e4d8141384279ae07a74c261797f2"
is_byok
false
latency
2512
model_permaslug
"mistralai/mistral-large-4-0-20261006"
provider_name
"Mistral"
status
200
total_cost
0.0394546
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Mistral"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 9.36%, Deviation: 0.64%
neededClean
false
wordsTotal
203
wordsDialogue
19
99.9992%