Mistral Embed
mistral/embed提供： Mistral · ファミリー: mistral-embed · リリース 2023-12-11
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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.
Coding2
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability2/10
Agents2
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability2/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume20/20
Cost efficiency86
- Headline price (log-scaled)86/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness61
- Number of independent providers10/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers8/10
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.50 < $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 | $1.00 < $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 | $0.20 < $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 | $0.80 < $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 | $1.20 < $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): mistral · mistral-embed
2 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 |
|---|---|---|---|---|---|
| Mistral mistral | mistral-embed | $0.100 | Unknown | 8K | 2023-12-11 |
| Vercel AI Gateway vercel | mistral/mistral-embed | $0.100 | Unknown | 8K | 2023-12-11 |
プロバイダー間でデータに差異
- context_window varies: 8000, 8192
プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。
Frequently asked questions
How much does Mistral Embed cost?
Mistral Embed costs $0.100 per 1M input tokens and Unknown per 1M output tokens, sourced from mistral. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Mistral Embed?
Mistral Embed has a context window of 8K tokens, with a max output of 3K tokens per reply. This is the total combined size of prompt + completion.
Does Mistral Embed support tool calling?
No. Mistral Embed does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Mistral Embed support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Mistral Embed in our data source. Verify with Mistral's official documentation before relying on it in production.
Can Mistral Embed accept image input?
No. Mistral Embed only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Mistral Embed open-weight?
No. Mistral Embed is a proprietary model — only Mistral (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Mistral Embed?
If Mistral Embed doesn't fit, consider Mistral Nemo Instruct 2407, Mistral Nemo, Mistral Large 2.1. 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 Mistral models
- Mistral Nemo Instruct 2407$0.02 in / $0.04 out
- Mistral Nemo$0.15 in / $0.15 out
- Mistral Large 2.1$2.00 in / $6.00 out
- Mistral Large 3$0.50 in / $1.50 out
- Mistral Small 3.2 24B Instruct (2506)$0.10 in / $0.31 out
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.