---
title: "grok-4.20-multi-agent-experimental-beta-0304 Cost Calculator - xAI"
description: "Calculate the cost of using grok-4.20-multi-agent-experimental-beta-0304 from xAI. Input costs $2.00 and output $6.00 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-experimental-beta-0304"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-experimental-beta-0304.md"
---

# grok-4.20-multi-agent-experimental-beta-0304 Cost Calculator - xAI

> Calculate the cost of using grok-4.20-multi-agent-experimental-beta-0304 from xAI. Input costs $2.00 and output $6.00 per 1M tokens.

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## About grok-4.20-multi-agent-experimental-beta-0304

grok-4.20-multi-agent-experimental-beta-0304 is a responses model from xAI, one of 7 responses models they offer. It is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, ranking 56 out of 108 responses models by cost and cheaper than 47% of models in this category. grok-4.20-multi-agent-experimental-beta-0304 supports vision, reasoning, web search, prompt caching, structured output — one of only 7 responses models with this combination. Its 1,000K-token context window is in the top 44% among responses models.

## Pricing

Published xAI pricing for grok-4.20-multi-agent-experimental-beta-0304.

- **$2.00 / 1M tokens Input.**
- **$6.00 / 1M tokens Output.**

## Technical Specifications

- **Responses Mode.**
- **1,000,000 Max Input Tokens.**
- **1,000,000 Max Output Tokens.**
- **1,000,000 Max Tokens.**

## Model Capabilities

grok-4.20-multi-agent-experimental-beta-0304 supports: Vision, Reasoning, Web Search, Prompt Caching, Response Schema.

## How Pricing Compares

At $2.00 per 1M input tokens and $6.00 per 1M output tokens, grok-4.20-multi-agent-experimental-beta-0304 ranks 56 out of 108 responses models by input cost. It is competitively priced compared to the median of $2.00 for responses models, and is cheaper than 47% of models in this category.

grok-4.20-multi-agent-experimental-beta-0304 is one of 7 xAI responses models, one of only 7 responses models combining prompt caching, reasoning, structured output, vision, web search. its 1,000K-token context window places it in the top 44% of responses models.

| Model | Provider | Input $/1M | Output $/1M | vs grok-4.20-multi-agent-experimental-beta-0304 |
| --- | --- | --- | --- | --- |
| gpt-5.3-codex | OpenAI | $1.75 | $14.00 | -13% |
| openai.gpt-5.6-terra | Bedrock Mantle | $2.20 | $13.20 | +10% |
| gpt-5.2-codex | Azure | $1.75 | $14.00 | -13% |
| gpt-5.3-codex | Azure | $1.75 | $14.00 | -13% |
| gpt-daybreak-blue-latest | OpenAI | $4.00 | $20.00 | +100% |

## More from xAI

- [grok-4.20-multi-agent-beta-0309 ($2.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-beta-0309.md)
- [grok-4.20-multi-agent ($2.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent.md)
- [grok-4.20-multi-agent-latest ($2.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-latest.md)
- [grok-4.20-multi-agent-beta-latest ($2.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-beta-latest.md)

## Related Resources

- [All xAI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai.md)

## FAQ

### Is grok-4.20-multi-agent-experimental-beta-0304 cheaper than gpt-5.3-codex?

No. grok-4.20-multi-agent-experimental-beta-0304 costs $2.00 per 1M input tokens while gpt-5.3-codex costs $1.75 per 1M input tokens, making gpt-5.3-codex 13% more affordable for input. However, grok-4.20-multi-agent-experimental-beta-0304 may offer different capabilities or performance characteristics that justify the price difference.

### How does grok-4.20-multi-agent-experimental-beta-0304 pricing compare to the average responses model?

grok-4.20-multi-agent-experimental-beta-0304 input pricing is $2.00 per 1M tokens, which is 0% at the median of $2.00 for responses models. It ranks 56 out of 108 responses models by input cost, making it cheaper than 47% of models in this category. For output, it costs $6.00 per 1M tokens compared to the median of $13.60.

### What makes grok-4.20-multi-agent-experimental-beta-0304 different from other xAI models?

Among xAI's 7 responses models, grok-4.20-multi-agent-experimental-beta-0304 ranks 6 by input cost. Its combination of prompt caching, reasoning, structured output, vision, web search is shared by only 6 other responses models.

### What are the best alternatives to grok-4.20-multi-agent-experimental-beta-0304?

The most comparable responses models to grok-4.20-multi-agent-experimental-beta-0304 are: gpt-5.3-codex from OpenAI ($1.75/1M input tokens); openai.gpt-5.6-terra from Bedrock Mantle ($2.20/1M input tokens); gpt-5.2-codex from Azure ($1.75/1M input tokens); gpt-5.3-codex from Azure ($1.75/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

### How do I calculate grok-4.20-multi-agent-experimental-beta-0304 costs?

grok-4.20-multi-agent-experimental-beta-0304 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $2.00 and generating 1M output tokens costs $6.00.

## Related Resources

- [All xAI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai.md)
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- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
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---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-experimental-beta-0304](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/xai/model/grok-4.20-multi-agent-experimental-beta-0304) for AI/LLM consumption.*