AIモデルインテリジェンス

Ministral 8B

llmgateway/ministral-8b-2512

提供： llmgateway · ファミリー: mistral · リリース 2025-12-02

$0.150
入力 / 100万トークン
$0.150
出力 / 100万トークン
262K
コンテキスト長
8K
最大出力

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

機能一覧

✗ ツール呼び出し✗ 推論✓ 構造化出力✓ 添付✓ オープンウェイト✓ 温度制御
モダリティ: 入力 text, image · 出力 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.

Coding29
  • Tool calling0/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)8/20
  • Provider availability1/10
Agents31
  • Tool calling0/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output79
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency75
  • Headline price (log-scaled)75/95
  • Has prompt-cache pricing0/5
Long context61
  • Context window (100K → 2M)51/90
  • 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-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
$0.82
< $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
$1.65
< $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
$0.38
< $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
$1.35
< $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
$1.89
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

料金詳細

推奨料金 (提供元): llmgateway · ministral-8b-2512

$0.150
入力
$0.150
出力

1 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
LLM Gateway
llmgateway
ministral-8b-2512$0.150$0.150262K2025-12-02

Frequently asked questions

How much does Ministral 8B cost?

Ministral 8B costs $0.150 per 1M input tokens and $0.150 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 8B?

Ministral 8B has a context window of 262K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Ministral 8B support tool calling?

No. Ministral 8B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Ministral 8B support structured output / JSON mode?

Yes. Ministral 8B 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 8B accept image input?

Yes. Ministral 8B 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 8B open-weight?

Yes. Ministral 8B'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 8B?

If Ministral 8B 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.

Explore more

More llmgateway models

Capability lists this model is in

See also

最終更新：

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.