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Run: 2026-09-24-01M39VSEARX72RRHC8YCTTR0B4
Run Details
Model:
Aion 3.5 Mini (Reasoning, High)
Test:
N-Length Sentences
Scenario:
Write sentences with 10 words each
Duration:
50.1s
Cost:
$0.003080
Provider:
AionLabs
Evaluation summary
Score
Evaluator
Details Link
66.84%
Matches word count
(details)
Model input
User/Human
Please write the opening scene of a murder mystery where each sentence has exactly 10 words. Please make sure that each sentence has the same length. Only return the opening itself.
Model response
Messages
Meta
AI
The requirements are clear: a murder mystery opening where every sentence contains exactly ten words, nothing else returned. I'll draft an atmospheric scene—stormy manor, dead lord, detective, suspicious guests—and count each sentence word-by-word to enforce the constraint. My outline: establish setting, introduce the detective and victim, describe the crime scene, hint at suspects and motives, end with the detective's resolve. Draft sentences verified at ten words each: "The rain hammered the windows of Blackwood Manor that night" (10), "Detective Sarah Chen arrived just before midnight, coat soaked through" (10), "A scream had shattered the quiet hours after ten o'clock" (10), "Inside the study, Lord Edmund lay crumpled beside his desk" (10), "A brass letter opener protruded from his chest, already cold" (10), "The fire had burned low, casting shadows across Persian rugs" (10), "Six guests sat waiting in the library downstairs, all silent" (10), "Each had a reason to want the old man dead" (10), "Sarah knew one of them was lying through their teeth" (10), "The storm outside mirrored the tension within the manor walls" (10), "By dawn, she promised herself, the killer would be caught" (10), "But first, she needed to examine the body very carefully" (10). All counts confirmed. The sequence flows naturally as an opening scene. No preamble needed per the user's instruction to return only the opening itself. This is standard mystery fiction, fully within scope to provide. The rain hammered the windows of Blackwood Manor that night. Detective Sarah Chen arrived just before midnight, coat soaked through. A scream had shattered the quiet hours after ten o'clock. Inside the study, Lord Edmund lay crumpled beside his desk. A brass letter opener protruded from his chest, already cold. The fire had burned low, casting shadows across Persian rugs. Six guests sat waiting in the library downstairs, all silent. Each had a reason to want the old man dead. Sarah knew one of them was lying through their teeth. The storm outside mirrored the tension within the manor walls. By dawn, she promised herself, the killer would be caught. But first, she needed to examine the body very carefully.
created_at
"2026-09-24T14:05:55.941Z"
9/24/2026, 2:05:55 PM
model
"aion-labs/aion-3.5-mini-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3032
moderation_latency
(null)
generation_time
49721
tokens_prompt
46
tokens_completion
1970
native_tokens_prompt
39
native_tokens_completion
2195
native_tokens_completion_images
(null)
native_tokens_reasoning
1416
native_tokens_cached
39
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
0.00308002
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790258755-6BOk6Utnn7hZIikQJC3Z"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790258755-GqvyAqPP4tQcFvRUxlDe"
upstream_id
"d5439d87814547219bcd70e3355d865f"
provider_responses
0
endpoint_id
"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id
"d5439d87814547219bcd70e3355d865f"
is_byok
false
latency
3032
model_permaslug
"aion-labs/aion-3.5-mini-20260923"
provider_name
"AionLabs"
status
200
total_cost
0.00308002
cache_discount
0.00002028
upstream_inference_cost
0
provider_name
"AionLabs"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
66.84%
Matches word count
n/a
neededClean
false
sentences
20
wordCounts
0
18
1
21
2
23
3
139
4
3
5
8
6
13
7
10
8
10
9
10
10
10
11
10
12
10
13
10
14
10
15
10
16
10
17
10
18
10
19
10