Grok 4.20 Beta Series: 4-Agent Architecture, 2M Context

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Key Highlights

• 4-Agent Architecture: Grok 4.20’s core innovation — 4 specialized agents think in parallel and debate before producing answers, reducing hallucinations by ~65%
• 2M Context Window: 8x increase from Grok 4’s 256K to 2 million tokens
• 4 Models for Every Use Case: Reasoning, multi-agent, base, and non-reasoning variants for everything from instant responses to deep research
• Unified Low Pricing: $2 input / $6 output per million tokens, a major price drop from Grok 4 ($3/$15)
• Multimodal Input: Supports text + image (JPG, PNG) input

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Background

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Detailed Analysis

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Model Comparison

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Core Features

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Performance Data

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Multi-Agent Model Details

• web_search: Web search
• x_search: Real-time X (Twitter) data search
• code_execution: Code execution
• collections_search: Knowledge base search

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Getting Started

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Code Example

from openai import OpenAI

client = OpenAI(
    api_key="your-api-key",
    base_url="https://api.apiyi.com/v1"
)

# Reasoning variant - for complex logic tasks
response = client.chat.completions.create(
    model="grok-4.20-beta-0309-reasoning",
    messages=[
        {"role": "user", "content": "Analyze the time complexity of this algorithm and suggest optimizations..."}
    ]
)
print(response.choices[0].message.content)

# Non-reasoning variant - for low-latency scenarios
response = client.chat.completions.create(
    model="grok-4.20-beta-0309-non-reasoning",
    messages=[
        {"role": "user", "content": "Translate the following text to Chinese: ..."}
    ]
)
print(response.choices[0].message.content)

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Recommended Use Cases

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Pricing & Availability

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Pricing

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Deposit Bonuses

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Summary & Recommendations