xAI: Grok 4.20

Public pricingIntelligence 79/100Huge memory视觉深度思考工具调用

xAI: Grok 4.20 是一款多模态模型，适合智能体工作流与工具调用。它结合了多模态输入处理、可靠的工具调用与智能体表现、1M+ tokens上下文和均衡成本定位，可在agent workflows, tool use, and orchestration中提供可靠表现。它适合重视准确性、上下文与控制的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$2.00/1M

Output

$6.00/1M

Cached

$0.20/1M

Batch

$1.00/1M

Calculate your Grok 4.20 bill.

Set your workload — see cost at your exact volume.

What would Grok 4.20 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Grok 4.20 at a glance.

Memory

2,000,000

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

grok

Released

Mar 2026

Training cutoff

Sep 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    48

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Grok 4.20

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Grok 4.20 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Grok 4.20 costs roughly $390 per month. Input is $2.00 /1M tokens and output is $6.00 /1M tokens.
Grok 4.20 has a 2,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 375,000 words of input and history in a single call.
Beyond text generation, Grok 4.20 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
Grok 4.20 was released in March 2026, with training data cut off around September 2025.
Models in a similar class include Grok 4.20 Multi-Agent, Grok 4, Grok 4 Fast. The "Similar models" section below this FAQ links into each.

Still unsure?

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