KI‑Modell‑Intelligenz

Ministral 3B

llmgateway/ministral-3b-2512

Von llmgateway · Familie: mistral · veröffentlicht 2025-12-02

$0.100
Eingabe / 1 Mio. Tokens
$0.100
Ausgabe / 1 Mio. Tokens
131K
Kontextfenster
8K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

Tool CallingReasoningStrukturierte AusgabeAnhängeOffene GewichteTemperatur-Steuerung
Modalitäten: Eingabe text, image · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding23
  • Tool calling0/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents31
  • Tool calling0/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume20/20
Cost efficiency79
  • Headline price (log-scaled)79/95
  • Has prompt-cache pricing0/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Vision78
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability1/10
Production-readiness65
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.55
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$1.10
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.25
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$0.90
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$1.26
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von llmgateway · ministral-3b-2512

$0.100
Eingabe
$0.100
Ausgabe

Bei 1 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
LLM Gateway
llmgateway
ministral-3b-2512$0.100$0.100131K2025-12-02

Frequently asked questions

How much does Ministral 3B cost?

Ministral 3B costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from llmgateway. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Ministral 3B?

Ministral 3B has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Ministral 3B support tool calling?

No. Ministral 3B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Ministral 3B support structured output / JSON mode?

Yes. Ministral 3B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Ministral 3B accept image input?

Yes. Ministral 3B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check llmgateway's docs for the exact rule.

Is Ministral 3B open-weight?

Yes. Ministral 3B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Ministral 3B?

If Ministral 3B doesn't fit, consider Auto Route, Seed 1.6 Flash (250715), Seed 1.6 (250615). Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More llmgateway models

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.