Mistral Vibe Cli
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 is aimed at enterprises that need a single model to interpret visual data, execute external functions, and conduct detailed logical reasoning. It excels at tasks such as image classification, document extraction, automated workflow orchestration, and complex problem solving that benefits from step‑by‑step analysis. The model’s distinguishing factor is its tightly integrated approach that couples multimodal perception with tool calling, allowing developers to build applications that react to images and invoke services without stitching together separate components. This unified design reduces integration overhead and promotes consistent reasoning across text and visual inputs.
Specifications & pricing
| Input (per 1M tokens) | $1.50 |
|---|---|
| Output (per 1M tokens) | $7.50 |
| Cache read (per 1M tokens) | $0.15 |
| Context window | 262,144 tokens |
| Max output | 262,144 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 2, 2026. Official Mistral AI pricing.
What Mistral Vibe Cli would cost on your workload — run it through the cost calculator →
Where to try Mistral Vibe Cli 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 kinds of business problems is Mistral Vibe Cli best suited for?+
The model shines in scenarios where visual information must be combined with automated actions, such as processing receipts, inspecting product images, routing support tickets based on screenshots, and generating reports that require both image insight and calculated results.
How do I begin using Mistral Vibe Cli in my current workflow?+
Start by accessing the model through the provider’s API endpoint, supplying image data alongside textual prompts. You can then define functions that the model may call, register them with the API, and let the model decide when to invoke them as part of its reasoning process.
In what ways does Vibe Cli differ from other models in the Mistral family?+
Unlike the text‑only variants, Vibe Cli incorporates native image understanding and supports tool calling, while maintaining the same underlying reasoning architecture. This makes it a more versatile choice for applications that need both visual perception and programmable actions.
What limitations should I keep in mind when deploying this model?+
The model’s performance depends on the quality of the supplied images and the clarity of the defined functions. It may struggle with highly ambiguous visual content or with functions that require real‑time external data not exposed through the tool‑calling interface.
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