Grok 4.20 model profile

Evidence snapshot: 2026-09-06

Grok 4.20 is a xAI model profile with a 2,000,000-token context window. The dated catalog snapshot records text, image, file modalities and interfaces for file input, prompt caching, reasoning controls, structured output, text generation.

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Grok 4.20 is a reference profile: xAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Grok 4.20 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Grok 4.20 accepts text, image, and file and returns text. The snapshot records file input, prompt caching, reasoning controls, structured output, text generation, tool calling, vision, and web search pricing as capabilities or interfaces.

The dated reference snapshot lists $1.25 input and $2.5 output per million tokens. Cached input is $0.2 per million tokens.

No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type: Model research profile
Provider or publisher: xAI
Context window: 2,000,000 tokens
Snapshot date: 2026-09-06
Knowledge cutoff: 2025-09-01
Reference catalog ID: x-ai/grok-4.20

When to pick Grok 4.20

Grok 4.20 is a reference profile: xAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

Reach for it when a whole corpus has to fit in one prompt. The 2M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

Provider or publisher: xAI
Context window: 2,000,000 tokens
Maximum output: 1,800,000 tokens
Input modalities: text, image, and file
Output modalities: text
Knowledge cutoff: 2025-09-01

Model overview

Reference model ID: x-ai/grok-4.20
Canonical version: x-ai/grok-4.20-20260309
Hugging Face ID: Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters: include_reasoning, logprobs, max_tokens, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

file input
prompt caching
reasoning controls
structured output
text generation
tool calling
vision
web search pricing

Dated pricing snapshot

The dated reference snapshot lists $1.25 input and $2.5 output per million tokens. Cached input is $0.2 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date: 2026-09-06
Input: $1.25 per 1M tokens
Cached input: $0.2 per 1M tokens
Output: $2.5 per 1M tokens

Prompt threshold	Input	Cached input	Output
From 200,000 prompt tokens	$2.5 / 1M	$0.4 / 1M	$5 / 1M

Provider routes, performance, and uptime

The snapshot retains 4 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints: 4
Best p50 latency: No recent metric
Best p50 throughput: No recent metric
Availability with routing: No recent metric
Availability without routing: No recent metric
Performance date: 2026-09-06

Provider	Quantization	Input / 1M	Output / 1M	Cache read / 1M	Context	p50 latency	p50 throughput	Uptime (1d)
xAI	unknown	$1.25 / 1M	$2.5 / 1M	$0.2 / 1M	2,000,000 tokens	No recent p50	No recent p50	99.90%
xAI	unknown	$1.25 / 1M	$2.5 / 1M	$0.2 / 1M	2,000,000 tokens	No recent p50	No recent p50	99.91%
xAI	unknown	$2.5 / 1M	$5 / 1M	$0.4 / 1M	2,000,000 tokens	No recent p50	No recent p50	100.00%
xAI	unknown	$2.5 / 1M	$5 / 1M	$0.4 / 1M	2,000,000 tokens	No recent p50	No recent p50	No recent uptime

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Design Arena category	Elo	Win rate	Rank
androidnative	1064	35.1%	#34
fullstack	1058	41%	#31
godotgamedev	1089	38.5%	#25
htmlslides	1180	45.7%	#12
mobileapps	1126	45.4%	#35
webapps	1171	49.7%	#23
3d	1231	52.6%	#40
asciiart	1200	48.3%	#21
codecategories	1238	52.2%	#40
dataviz	1238	52.2%	#39
gamedev	1225	51.2%	#42
svg	1199	52.7%	#32
uicomponent	1221	49.3%	#44
website	1242	52.1%	#39

Popularity and market context

Third-party catalog rank: No verified rank
Global market share: Not inferred
Observation date: 2026-09-06

Frequently asked questions

When should I use Grok 4.20?

Grok 4.20 is a reference profile: xAI publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when a whole corpus has to fit in one prompt: The 2M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

What is Grok 4.20?

What context window does Grok 4.20 have?

The dated profile lists 2,000,000 tokens of context and up to 1,800,000 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Grok 4.20?

The 2026-09-06 snapshot includes 14 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is Grok 4.20 available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Grok 4.20's global market share?

Sources and evidence dates

Grok 4.20 third-party catalog record (catalog, checked 2026-09-06)
Third-party model catalog methodology (methodology, checked 2026-09-06)
xAI official model documentation (primary, checked 2026-09-06)
Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)