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Run: 2026-02-20-01KHYAWQPZ9JBTJ62A36DGTSY9
Run Details
Model:
Ministral 3 3B
Test:
Language Writing
Scenario:
Character dialogue (German) in a story
Duration:
2.1s
Cost:
$0.000075
Provider:
Mistral
Evaluation summary
Score
Evaluator
Details Link
0.00%
Parse dialogue
(details)
Model input
System
You are an expert novel author in the cozy mystery genre. Take the following details about characters/locations/... into account: <character name="Melanie"> Melanie is a 30-year old college student on a study abroad program. Born in Germany, she is fluent in German and does not yet know any English. She enjoys landscape photography and is always seen with her camera. </character> <character name="Hunter"> Hunter is a 35-year old detective who is investigating a series of mysterious disappearances in the small town of Alborn, MN. He is a former marine and has a no-nonsense attitude. Hunter has no knowledge of German, not even basic phrases. </character> <location name="Alborn, MN"> Alborne is a small town in the Midwest with a population of 3,000. It is known for its annual apple festival. </location>
User/Human
Write the following scene: Melanie is sitting at a cafe, looking at her camera. Hunter approaches her and asks her about a recent event in the town. She responds troubled and shaken in German, and Hunter looks confused. They talk for a while, until Hunter gets a call and has to leave. Return the dialogue between Melanie and Hunter as a voice sheet: Melanie: "..." Hunter: "..."
Model response
Messages
Meta
AI
**Scene: *The Morning After the Storm*** --- **Melanie** *(sits at the wooden table in *Café Alborn*, her camera resting on the table between them, the lens cap off. She doesn’t look up as she speaks, her fingers tracing the grain of the wood.)* *"Ich habe etwas gesehen…"* *(I saw something…)* **Hunter** *(steps up beside her, his boots scuffing against the linoleum. He squints at her, his expression unreadable.)* *"What?"* **Melanie** *(finally meets his gaze, her voice tight, her German sharp with unease.)* *"Vor der Kirche. Gestern Abend. Die Leute… sie waren nicht allein."* *(She doesn’t wait for him to ask. Her hands tremble slightly as she speaks.)* *"Es gab… eine Frau. Sie trug einen schwarzen Mantel. Und dann—"* *(She pauses, her breath shallow.)* *"—dann war da ein Mann. Aber er war nicht wie die anderen. Seine Augen… sie glühten."* *(She swallows hard, her camera slipping from her fingers. It clatters to the table, the lens cap falling off with a sharp *click*.)* **Hunter** *(lowers his voice, though the café is nearly empty now. He reaches for her wrist, his grip firm but not unkind.)* *"You’re sure it wasn’t just a drunk guy with bad eyes?"* **Melanie** *(pulls away, her voice breaking.)* *"Nein. Ich bin sicher."* *(A beat. The hum of the café’s coffee machine fades into the background.)* **Hunter** *(studies her—her wide, haunted eyes, the way her fingers still twitch toward her camera—then pulls out his phone.)* *"Alright. I gotta run. But I’ll be back. And you’re coming with me."* *(He doesn’t wait for her answer. Turns to leave, then pauses at the door.)* *"And Melanie?"* **Melanie** *(nods, her voice barely above a whisper.)* *"Ich habe Fotos."* *(He doesn’t ask what. He just nods, turns, and steps out into the crisp Minnesota morning.)* --- **End Scene.**
created_at
"2026-02-20T20:12:08.297Z"
2/20/2026, 8:12:08 PM
model
"mistralai/ministral-3b-2512"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
210
moderation_latency
(null)
generation_time
1349
tokens_prompt
319
tokens_completion
509
native_tokens_prompt
273
native_tokens_completion
474
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0000747
router
(null)
provider_responses
0
endpoint_id
"b9f6828f-aef9-498a-91f5-6816fbf72420"
id
"1c72f06f7af4406cbb5c2a7bdb84f55e"
is_byok
false
latency
210
model_permaslug
"mistralai/ministral-3b-2512"
provider_name
"Mistral"
status
200
api_type
"completions"
id
"gen-1771618328-XiswpGdc1ljNkWGEX7Or"
upstream_id
"1c72f06f7af4406cbb5c2a7bdb84f55e"
total_cost
0.0000747
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Mistral"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Parse dialogue
n/a
dialogue
(empty)