Grok 4.20

x-ai/grok-4.20-20260309

xAI: Grok 4.20, provided by x‑ai, accepts text, image, and file inputs and produces text output. It supports tools and reasoning, offers a context length of 2 000 000 tokens, and is priced at $1.25 per million input tokens and $2.5 per million output tokens. The model was released on 2026‑03‑31 and its weights are not open.

  • tool use
  • structured outputs
  • reasoning

At a glance

providerx-ai
releasedMar 9, 2026
context2M
input / M$1.25

Specifications

What the API gives you

Context window
2M tokens
Max output
1.8M tokens
Input price
$1.25 / 1M tokens
Output price
$2.50 / 1M tokens
Cache read
$0.20 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
Sep 1, 2025
Released
Mar 9, 2026

Measured evidence

Public benchmark record

Design Arena Coding
1207 Elo2026-10-20
Design Arena UI
1190 Elo2026-10-20
Design Arena Web-app Agent
1143 Elo2026-10-20
Design Arena Website
1221 Elo2026-10-20
LMArena WebDev
1376 Elo2026-10-19

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Frontend & UIEstablished evidence

    82% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    36% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Code CompletionProvisional evidence

    36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.

  • Best Local LLM for CodingProvisional evidence

    21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Agentic CodingProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Agentic Coding or LMArena Agent. 7 of 7 configured evaluation feeds currently have results.

  • 17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.