Ministral 3 14B (Infomaniak)
edenai/ministral-3-14b-instruct-2512제공: edenai · 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.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents16
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output28
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume18/20
Cost efficiency65
- Headline price (log-scaled)65/95
- Has prompt-cache pricing0/5
Long context40
- Context window (100K → 2M)30/90
- Has published price for full window10/10
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 | $1.94 < $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 | $3.88 < $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 | $0.91 < $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 | $3.19 < $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 | $4.38 < $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: edenai · infomaniak/mistralai/Ministral-3-14B-Instruct-2512
1곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Eden AI edenai | infomaniak/mistralai/Ministral-3-14B-Instruct-2512 | $0.342 | $0.456 | 100K | 2025-12-02 |
Frequently asked questions
How much does Ministral 3 14B (Infomaniak) cost?
Ministral 3 14B (Infomaniak) costs $0.342 per 1M input tokens and $0.456 per 1M output tokens, sourced from edenai. 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 14B (Infomaniak)?
Ministral 3 14B (Infomaniak) has a context window of 100K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.
Does Ministral 3 14B (Infomaniak) support tool calling?
No. Ministral 3 14B (Infomaniak) does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Ministral 3 14B (Infomaniak) support structured output / JSON mode?
No. Ministral 3 14B (Infomaniak) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Ministral 3 14B (Infomaniak) accept image input?
No. Ministral 3 14B (Infomaniak) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Ministral 3 14B (Infomaniak) open-weight?
Yes. Ministral 3 14B (Infomaniak)'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 14B (Infomaniak)?
If Ministral 3 14B (Infomaniak) doesn't fit, consider GPT OSS 120B (FlexAI), Muse Glimmer 30B (Deep Infra), Inkling (Deep Infra). 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More edenai models
- GPT OSS 120B (FlexAI)$0.03 in / $0.17 out
- Muse Glimmer 30B (Deep Infra)$0.30 in / $1.20 out
- Inkling (Deep Infra)$0.95 in / $4.05 out
- GPT OSS 20B (FlexAI)$0.02 in / $0.10 out
- Hy3 (Deep Infra)$0.13 in / $0.53 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.