Grok 4.20 Multi Agent Beta 0309
xAI
At a glance
- Price per 1M tokens (input)
- $1.25
- Price per 1M tokens (output)
- $2.50
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026, last price change August 12, 2026.
Grok 4.20 Multi Agent Beta 0309 is built for business users who need a model that can see images, reason through complex problems step by step, and act on external tools. It suits tasks like document analysis, workflow automation, and multi-step research where you need transparent logic and reliable execution. The vendor's approach emphasizes agentic collaboration—multiple specialized sub-agents work together under a coordinator to break down tasks, which improves accuracy on intricate requests. This model is particularly useful for teams that want to integrate AI into their existing software stack without losing control over the reasoning process.
Specifications & pricing
| Input (per 1M tokens) | $1.25 |
|---|---|
| Output (per 1M tokens) | $2.50 |
| Cache read (per 1M tokens) | $0.20 |
| Context window | 1,000,000 tokens |
| Max output | 1,000,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official xAI pricing.
Price history
| Date | Input / 1M | Output / 1M |
|---|---|---|
| August 9, 2026 (first record) | $2.00 | $6.00 |
| August 12, 2026 | $1.25 | $2.50 |
Where to try Grok 4.20 Multi Agent Beta 0309 for free
- xAI offers a free chat — Grok (limited free access). 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 context?+
It is ideal for tasks that combine visual data, reasoning, and action—such as inspecting charts or product images, then generating a report, or parsing a contract and automatically filling a CRM field. The step-by-step reasoning makes it suitable for audits, compliance checks, and any process where you need to verify the logic behind a decision.
How do I get started with Grok 4.20 Multi Agent Beta 0309?+
You can access it through the xAI API or the Grok platform. For tool calling, you define functions in your code and the model will output structured calls that your system executes. Start with a simple test: give it an image and ask for a summary, then add a tool like a database lookup to see how it chains actions.
How does this model differ from other Grok models?+
The 'Multi Agent' designation means the model internally runs multiple reasoning agents that debate and verify each other's outputs before responding, which reduces errors on complex tasks. Compared to standard Grok models, it is heavier and slower but more accurate for multi-step problems. It also has enhanced image understanding and tool calling compared to earlier versions.
What are the limitations I should know about?+
The multi-agent architecture increases latency, so it is not ideal for real-time chat. It can also be more expensive to run due to the extra compute. Additionally, while it handles images well, it is not a dedicated vision model—for very fine-grained visual details, you may need a specialized system. Finally, tool calling requires careful setup to avoid errors from malformed function calls.
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