Mixtral 8x22B Instruct
mistral/mixtral-8x22b-instruct出品方： Mistral · 系列: mistral · 发布 2024-04-17 · 知识截止: 2024-01-31
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清单
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.
Coding63
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability3/10
Agents78
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output84
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume4/20
Cost efficiency45
- Headline price (log-scaled)40/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness73
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- 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 | $13.00 $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 | $26.00 < $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 | $7.00 < $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 | $22.00 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $27.60 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定价详情
推荐定价来自 openrouter · mistralai/mixtral-8x22b-instruct
最便宜的渠道： nvidia · Unknown 输入 + Unknown 输出
在 3 家渠道可用
| 服务商 | 服务商模型 ID | 输入 / 1M | 输出 / 1M | 上下文 | 发布日期 |
|---|---|---|---|---|---|
| OpenRouter openrouter | mistralai/mixtral-8x22b-instruct | $2.00 | $6.00 | 66K | 2024-04-17 |
| Nvidia nvidia | mistralai/mixtral-8x22b-instruct | Unknown | Unknown | 66K | 2024-04-17 |
| Kilo Gateway kilo | mistralai/mixtral-8x22b-instruct | $2.00 | $6.00 | 66K | 2024-04-17 |
各渠道数据存在不一致
- modalities varies across offerings
各服务商对此模型的报告值存在差异。上方「核心数据」使用代表性服务商的值；逐项请以下表为准。
Frequently asked questions
How much does Mixtral 8x22B Instruct cost?
Mixtral 8x22B Instruct costs $2.00 per 1M input tokens and $6.00 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Mixtral 8x22B Instruct?
Mixtral 8x22B Instruct has a context window of 66K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Mixtral 8x22B Instruct support tool calling?
Yes. Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct support structured output / JSON mode?
Yes. Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct accept image input?
No. Mixtral 8x22B Instruct only accepts text, pdf as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Mixtral 8x22B Instruct open-weight?
Yes. Mixtral 8x22B Instruct'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 Mixtral 8x22B Instruct?
If Mixtral 8x22B Instruct doesn't fit, consider Mistral Nemo, Mistral Large 3, Devstral 2. 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 Mistral models
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- Mistral Large 3$0.50 in / $1.50 out
- Devstral 2$0.40 in / $2.00 out
- Mistral Large 2.1$2.00 in / $6.00 out
- Mistral Nemo$0.02 in / $0.04 out
Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.