Labs Leanstral 1.5.1
Mistral AI
At a glance
- Price per 1M tokens (input)
- free
- Price per 1M tokens (output)
- free
- Context
- 262,144 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 31, 2026. Published August 31, 2026.
Labs Leanstral 1.5.1 is designed for developers and enterprises that need an LLM that can invoke external functions as part of its reasoning. It excels at workflows that combine natural language understanding with structured actions such as database queries, API requests, or automated calculations. Mistral AI’s approach emphasizes a lightweight architecture that keeps inference fast while preserving the ability to integrate with custom toolsets. The model is well suited for building intelligent assistants, data pipelines, and decision‑support tools that require reliable tool calling.
Specifications & pricing
| Input (per 1M tokens) | free |
|---|---|
| Output (per 1M tokens) | free |
| Context window | 262,144 tokens |
| Max output | 131,072 tokens |
| Capabilities | tool calling |
LiteLLM community dataset (MIT), verified August 31, 2026. Official Mistral AI pricing.
What Labs Leanstral 1.5.1 would cost on your workload — run it through the cost calculator →
Where to try Labs Leanstral 1.5.1 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 tasks benefit most from this model’s tool calling?+
Tasks that require the model to retrieve up‑to‑date information, perform calculations, or trigger actions in external services—such as generating reports, checking inventory, or scheduling appointments—are a natural fit.
How do I start using Labs Leanstral with tool calling in my application?+
Begin by registering the functions you want the model to access, then configure the inference request to include the function schema; the model will return a structured call when it determines that a function is appropriate.
How does this model differ from other Leanstral variants?+
This version balances a compact size with full support for tool calling, whereas earlier releases either omitted that capability or required larger compute budgets to achieve comparable accuracy.
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