# Ministral 14B

The 14B model in Mistral's third-generation edge series, combining native image understanding and optional extended reasoning with deployment targets spanning edge devices to enterprise workflows.

- **Model ID:** `mistral/ministral-14b`
- **Type:** chat
- **Providers:** mistral
- **Context window:** 262,144
- **Maximum output tokens:** 256,000
- **Pricing:** $0.2/1M input tokens, $0.2/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/ministral-14b

## Supported parameters

Detailed capability metadata has not been reported for this model.

## Example

```ts
import { streamText } from 'ai'

const result = streamText({
  model: 'mistral/ministral-14b',
  prompt: 'Why is the sky blue?'
})
```

## About

Ministral 14B is the 14B offering in Mistral's third-generation Ministral 3 series. Ministral 14B ships in base, instruct, and reasoning variants. The reasoning variant reaches 85% on AIME '25 in Mistral's Ministral 3 announcement.

All Ministral 14B variants include native image understanding, making Ministral 14B multimodal without requiring separate vision components. This is a key differentiator from the earlier Ministral series, which was text-only. Ministral 14B supports 40+ native languages for global deployments.

Mistral designed the Ministral 3 series for deployment spanning edge devices to enterprise workflows. All variants ship under Apache 2.0.

## What to consider

Ministral 14B ships in base, instruct, and reasoning variants, all with native image understanding. The reasoning variant reaches 85% on AIME '25 in Mistral's published Ministral 3 post.

## When to use

### Best For

- Applications requiring both text generation and image understanding in a single model
- Use cases that benefit from the reasoning variant's extended thinking capability
- Multilingual applications serving diverse global regions
- Teams that need Apache 2.0 licensing for commercial products

### Consider Alternatives When

- You need a smaller parameter footprint (consider Ministral 3B or 8B)
- Server-side throughput at scale is the primary concern

## Best for

- **Unified text and image applications:** Combine generation and vision in a single model
- **Extended thinking capability:** Use cases that benefit from the reasoning variant
- **Multilingual applications:** Serving diverse global regions
- **Apache 2.0 for commercial products:** Teams that need an Apache 2.0 license

## Consider alternatives

- **Smaller parameter footprint:** You need a more compact model (consider Ministral 3B or 8B)
- **Server-side throughput at scale:** Peak server throughput is the primary concern

## Frequently asked questions

### What is Ministral 14B's reasoning variant performance?

85% on AIME '25 for the reasoning variant, per Mistral's Ministral 3 announcement.

### Does Ministral 14B support image inputs?

Yes. Native image understanding is included in all variants (base, instruct, and reasoning) as part of the Ministral 3 series.

### What deployment targets does Ministral 14B cover?

Mistral designed the Ministral 3 series for deployment from edge devices to enterprise workflows.

### What license covers Ministral 14B?

Apache 2.0.

### Is Ministral 14B multilingual?

Yes. The Ministral 3 series supports 40+ native languages.

### How does the reasoning variant differ from the instruct variant?

The reasoning variant activates extended thinking to improve accuracy on complex problems. The instruct variant is optimized for standard instruction-following tasks with lower latency.

### How does Ministral 14B compare to Ministral 8B?

Ministral 14B adds image understanding, reasoning capability, and higher benchmark performance. Ministral 8B is text-only but features a specialized interleaved sliding-window attention pattern for faster and more memory-efficient inference at lower cost.

## Links

- [Model page](https://vercel.com/ai-gateway/models/ministral-14b)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://docs.mistral.ai/models/ministral-3-14b-25-12)
- [Provider pricing](https://mistral.ai/pricing#api-pricing)