Mistral Vibe Cli Fast
Mistral AI
At a glance
- Price per 1M tokens (input)
- $0.15
- Price per 1M tokens (output)
- $0.60
- Context
- 262,144 tokens
- Free access
- yes (see below)
Refreshed daily; data verified September 1, 2026. Published September 1, 2026.
Mistral Vibe Cli Fast is aimed at developers and product teams that need quick visual insight combined with logical reasoning. It handles tasks such as interpreting images, orchestrating external tools, and breaking complex problems into incremental steps. Mistral AI builds the model on a lightweight architecture that emphasizes low latency while preserving depth of understanding. The approach blends multimodal perception with structured reasoning without relying on massive parameter counts.
Specifications & pricing
| Input (per 1M tokens) | $0.15 |
|---|---|
| Output (per 1M tokens) | $0.60 |
| Cache read (per 1M tokens) | $0.015 |
| Context window | 262,144 tokens |
| Max output | 262,144 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 1, 2026. Official Mistral AI pricing.
What Mistral Vibe Cli Fast would cost on your workload — run it through the cost calculator →
Where to try Mistral Vibe Cli Fast 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 applications benefit most from this model?+
Applications that require analysis of pictures together with logical decision making, such as document review, visual quality checks, or interactive assistants that need to call APIs, see strong results.
How do I start using the model in my existing workflow?+
Integrate through the standard API endpoint, send the image data along with any optional function descriptors, and the model will return a structured response that can be directly routed to downstream processes.
How is this model different from other Mistral offerings?+
Unlike the larger variants that prioritize raw capacity, this version balances speed and multimodal ability, focusing on rapid inference and built‑in support for tool calling, which reduces the need for separate orchestration layers.
Compare with others
Org chart: how to move your company onto AI
A practical map: which company roles and processes AI agents can take over, where to start, and in what order to roll it out.