xAI: Grok 4.20 Multi-Agent Beta
Analysis Summary
xAI: Grok 4.20 Multi-Agent Beta sits in the Professional tier on our leaderboard, ranked #14 of 523 published models on overall intelligence. At $2.00 input and $6.00 output per 1M tokens, it is among the most expensive on the market. It offers an exceptionally large context window suited to long-document workflows and supports tool use, vision, and reasoning.
Editorial notes
xAI's Grok 4.20 Multi-Agent Beta is a powerful multi-agent model with a remarkable 2M token context window, strong reasoning, vision support, and top-tier agentic scores — though its premium pricing ($2/$6 per million tokens) positions it for enterprise use cases where context depth and agent reliability justify the cost.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Grok 4.20 Multi-Agent Beta is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information across complex tasks. Reasoning effort behavior:
- low / medium: 4 agents
- high / xhigh: 16 agents
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does xAI: Grok 4.20 Multi-Agent Beta stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
x-ai/grok-4.20-multi-agent-beta
|
| Provider | x-ai |
| Release Date | March 12, 2026 |
| Context Length | 2,000,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm