Ministral 3 3B
amazon-bedrock/ministral-3-3b-instruct제공: amazon-bedrock · 패밀리: ministral · 출시 2025-12-02
⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese 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.
Coding69
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents66
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output100
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency79
- Headline price (log-scaled)79/95
- Has prompt-cache pricing0/5
Long context60
- Context window (100K → 2M)50/90
- Has published price for full window10/10
Vision82
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability1/10
Production-readiness50
- 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)0/15
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.
| Scenario | Cost | Assumption |
|---|---|---|
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. |
가격 상세
추천 가격 제공자: amazon-bedrock · mistral.ministral-3-3b-instruct
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Amazon Bedrock amazon-bedrock | mistral.ministral-3-3b-instruct | $0.100 | $0.100 | 256K | 2025-12-02 |
Frequently asked questions
How much does Ministral 3 3B cost?
Ministral 3 3B costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from amazon-bedrock. 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 3 3B?
Ministral 3 3B has a context window of 256K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Ministral 3 3B support tool calling?
Yes. Ministral 3 3B supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Ministral 3 3B support structured output / JSON mode?
Yes. Ministral 3 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 3 3B accept image input?
Yes. Ministral 3 3B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check amazon-bedrock's docs for the exact rule.
Is Ministral 3 3B open-weight?
Yes. Ministral 3 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 3 3B?
If Ministral 3 3B doesn't fit, consider Palmyra X5, Nova Pro, Nova Micro. 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.
Explore more
More amazon-bedrock models
- Palmyra X5$0.60 in / $6.00 out
- Nova Pro$0.80 in / $3.20 out
- Nova Micro$0.04 in / $0.14 out
- Nova 2 Lite$0.33 in / $2.75 out
- Nova Lite$0.06 in / $0.24 out
Capability lists this model is in
마지막 업데이트:
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.