xAITextVision

grok-4.3

grok-4.3 is xAI's model at $1.25 input and $2.50 output per million tokens, with a 1000K context window. On a typical 3:1 input-to-output mix that blends to roughly $1.56 per million tokens, placing it in the mid-range band of the 89 models tracked here — cheaper than 43% of them.

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MODEL OVERVIEW

Context window1000K

Input price$1.25 / 1M

Output price$2.5 / 1M

Output speed100 tok/s

Quality score89

Data updatedUpdated Jun 2026

Price verified2026-09-02 · Official

Price noteList rate applies below 200K prompt tokens; at or above 200K the whole request bills at $2.50 / $5.00. Cached input is $0.20 / 1M tokens

By price, grok-4.3 ranks 54th cheapest of 89 on input and 45th on output. Its quality score of 89 ranks 35th of 89, and on value (quality score ÷ output price) it ranks 41st of 89. Its blended rate sits 49% below the catalog average.

In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $188 per month on grok-4.3, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $240. Because output is priced 2.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.

A 1000K context window holds roughly 1,333 pages of A4 text (at ~750 tokens per page), ranking 31st of 89 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis. Output runs at about 100 tok/s (38th fastest of 89), acceptable interactively, though long responses will feel slow.

We track 5 xAI models, and grok-4.3's blended rate sits 36% below that provider's average. If your task tolerates a little less headroom, Hunyuan HY3 (Tencent) blends about 94% cheaper at a quality score of 87, and is worth benchmarking first. Going the other way, qwen3.5 scores 91 on quality for about 93% less.

The closest model in xAI's line-up is grok-4.20 ($1.25 input / $2.50 output, quality 90). Against it, grok-4.3 scores 1 point lower on quality, runs 79 tok/s slower (about 44%). When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.

Estimated monthly cost

Monthly API spend across four common workloads, next to the cheapest model we track.

Workload	Usage assumption	This model	Cheapest model
Support chatbot	2,000 input / 500 output tokens per turn, 50,000 turns per month	$188	$3.00
RAG document Q&A	8,000 input / 800 output tokens per query, 20,000 queries per month	$240	$3.84
Coding assistant	12,000 input / 2,000 output tokens per request, 10,000 requests per month	$200	$3.20
Batch summarization	4,000 input / 400 output tokens per item, 200,000 items per month	$1,200	$19

Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.

How it compares

The alternatives worth benchmarking alongside it, from the same dataset.

Model	Provider	Blended /1M	Quality	Price delta
grok-4.3	xAI	$1.56	89	—
Hunyuan HY3Cheaper option	Tencent	$0.10	87	-94%
qwen3.5Higher quality	Alibaba	$0.11	91	-93%
grok-4.20Same provider	xAI	$1.56	90	+0%
qwen3.7-flashBest value overall	Alibaba	$0.055	82	-96%

Best for

ChatbotMultimodalLong Context

Modalities

TextVision

Where it fits — and where it doesn't

Good fit

Chat and support: natural multi-turn conversation for user-facing products.
Long documents: a 1000K window ingests a full contract, paper or large codebase in one pass.
Multimodal input: handles images, screenshots and scanned documents directly.

Poor fit

No obvious disqualifiers — still benchmark on your own data before committing.

Frequently asked questions

How much does the grok-4.3 API cost?

grok-4.3 costs $1.25 per million input tokens and $2.50 per million output tokens. On a 3:1 input-to-output mix that blends to about $1.56 per million tokens.

What does grok-4.3 cost per month?

It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $188/month, RAG document Q&A about $240/month, a coding assistant about $200/month, and batch summarization about $1,200/month. Plug your own token counts into the cost calculator for a tailored figure.

How large is the grok-4.3 context window?

1000K tokens — roughly 1,333 pages of A4 text at ~750 tokens per page, ranking 31st of the 89 models tracked here.

grok-4.3 or Hunyuan HY3 — which is better value?

Hunyuan HY3 blends to about $0.10 per million tokens versus $1.56 for grok-4.3 — roughly 94% cheaper — at a quality score of 87 against 89. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with grok-4.3. Benchmark both on your own data before deciding.

What is grok-4.3 best suited for?

Tagged use cases: chatbot, multimodal, long-context. Chat and support: natural multi-turn conversation for user-facing products. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.

How current is this grok-4.3 pricing?

Pricing here was last verified on 2026-09-02 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against xAI's official pricing page before you commit.