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Mistral Vibe Cli With Tools

Mistral AI

At a glance

Price per 1M tokens (input)
$1.50
Price per 1M tokens (output)
$7.50
Context
262,144 tokens
Free access
yes (see below)

Refreshed daily; data verified September 2, 2026. Published September 2, 2026.

Mistral Vibe Cli With Tools is built for developers and operations teams who need a command-line assistant that can see images, reason through multi-step problems, and act on external systems via tool calling. It suits tasks like automating infrastructure workflows, debugging visual outputs, and orchestrating API calls from a terminal. Mistral AI's approach emphasizes practical agentic behavior—letting the model invoke functions and tools rather than just generating text, while keeping reasoning transparent and stepwise. This model is a solid fit for teams that want a controllable, scriptable AI companion without moving to a full graphical interface.

Specifications & pricing

Input (per 1M tokens)$1.50
Output (per 1M tokens)$7.50
Cache read (per 1M tokens)$0.15
Context window262,144 tokens
Max output262,144 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified September 2, 2026. Official Mistral AI pricing.

What Mistral Vibe Cli With Tools would cost on your workload — run it through the cost calculator →

Where to try Mistral Vibe Cli With Tools for free

  • Mistral AI offers a free chat — Le Chat (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.

Frequently asked questions

What is this model best used for in a business setting?+

It excels at command-line tasks that combine visual input with functional actions—for example, inspecting a screenshot to diagnose a UI bug, then calling a deployment tool to roll back a change. It also handles structured workflows where you need the model to reason through steps and invoke specific APIs or scripts.

How do I get started using Mistral Vibe Cli With Tools?+

You access it through Mistral AI's platform or via a compatible CLI environment. After setting up your API credentials, you can send prompts that include images and function definitions. The model will respond with tool calls when needed, and you execute those calls in your own runtime—then feed results back for further reasoning.

How does this model differ from other Mistral models without tool support?+

Sibling models focus on text generation or chat without the ability to trigger external functions. This variant adds a structured tool-calling layer, meaning it can output machine-readable requests to call your code. It also includes image understanding, which is not standard across the line, and it emphasizes explicit step-by-step reasoning rather than just giving a final answer.

What are the main limitations I should know about?+

The model requires you to implement the actual tool execution—it only proposes calls, so you need a secure environment to run them. Image understanding works best with clear, high-resolution inputs; complex or ambiguous visuals may lead to errors. Also, because it reasons stepwise, it can be slower for simple queries compared to a direct-answer model, and it may occasionally over-explain or ask for confirmation.

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