Ministral 14B
Ministral 14B is part of Mistral AI's third-generation edge series, achieving 85% on AIME '25 with its reasoning variant and supporting native image understanding for on-device and edge deployment.
import { streamText } from 'ai'
const result = streamText({ model: 'mistral/ministral-14b', prompt: 'Why is the sky blue?'})Playground
Try out Ministral 14B by Mistral AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
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More models by Mistral AI
| Model |
|---|
| 256K | 0.4s | 51tps | $0.40/M | $2.00/M | — | — |  | 12/09/2025 | |||||
| 128K | 1.0s | 30tps | $0.40/M | $2.00/M | — | — | | 05/07/2025 | |||||
| 128K | 0.2s | $0.10/M | $0.10/M | — | — | | 10/01/2024 | ||||||
| 32K | 0.6s | 159tps | $0.10/M | $0.30/M | — | — | | 09/01/2024 | |||||
| 131K | 0.2s | 83tps | $0.15/M | $0.15/M | — | — |   | 07/01/2024 | |||||
| $0.10/M | — | — | | 12/11/2023 |
About Ministral 14B
Ministral 14B is the 14B offering in Mistral AI'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 AI'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 AI designed the Ministral 3 series for deployment spanning edge devices to enterprise workflows. All variants ship under Apache 2.0.
What To Consider When Choosing a Provider
- Configuration: Ministral 14B ships in base, instruct, and reasoning variants, all with native image understanding. The reasoning variant reaches 85% on AIME '25 in Mistral AI's published Ministral 3 post.
- Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Ministral 14B
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 When
- 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
Conclusion
Ministral 14B is an edge-optimized model in Mistral AI's portfolio. Ministral 14B is multimodal from launch, optionally extended with reasoning, and designed for deployment from edge devices to enterprise workflows. Choose Ministral 14B when an application needs both image and text understanding at the 14B size class.
Frequently Asked Questions
What is Ministral 14B's reasoning variant performance?
85% on AIME '25 for the reasoning variant, per Mistral AI'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 AI 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.