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xAI Grok logo

Top 9 xAI Grok Alternatives 2026

Grok models from xAI with a published rate per million tokens

See Plans & Pricing

Trusted by 2M+ software buyers annually.

Main Features

  • Code Generation
  • Context Window
  • Function Calling
  • Multimodal Input

Pricing

  • Starts from $1.00/million input tokens

See Plans & Pricing

xAI Grok is a Large Language Models (LLMs) platform. Teams looking for alternatives typically need better pricing flexibility, easier deployment, or a closer feature fit for their specific use case. Below you'll find 9 vetted Large Language Models (LLMs) alternatives ranked by user rating, with filters to narrow by pricing, platform, and features — so you can find the right fit for 2026.

xAI Grok vs Top Alternatives at a Glance

Side-by-side comparison of pricing, user rating, and free trial availability to help you decide faster.

ToolBest ForPricingRatingFree Option
xAI Grok CurrentLarge Language Models (LLMs)$1.00No reviews✗ No
IBM GraniteLarge Language Models (LLMs)$0.0636No reviews✗ No
Z.aiLarge Language Models (LLMs)$0.15No reviews✓ Yes
Google Gemini APILarge Language Models (LLMs)$0.30No reviews✓ Yes
Perplexity SonarLarge Language Models (LLMs)$0.25No reviews✗ No
Alibaba QwenLarge Language Models (LLMs)$0.05No reviews✗ No

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Showing 1-9 out of 9

Top rated

List of the Top xAI Grok alternatives as of November 2026

Compare business software, products, and services to find the best solution for your business or organization. Use the filters on the left to drill down by category, pricing, features, market segment, user ratings, and more.

IBM Granite logo

IBM Granite — from $0.0636

IBM's open Granite models, priced per million tokens on watsonx.ai

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✦ Editor’s Pick

What is IBM Granite?

Granite is the model family IBM trains and releases under an open licence, aimed at regulated enterprises that want a model they can inspect, host and govern. IBM serves Granite commercially on watsonx.ai and publishes a pay-as-you-go rate per million tokens for part of the line. On the card ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 1 more

Unique Features

  • Open Weights

  • Self-Hosted Deployment

  • Fine-Tuning

Pricing

Starts from $0.0636/million input tokens

Z.ai logo

Z.ai — from $0.15

GLM models with open weights, a free Flash tier and USD token rates

Try for Free

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Free plan available

What is Z.ai?

Z.ai, the company behind the GLM family, publishes open weights for its models and runs a priced API beside them with every rate stated in US dollars per million tokens. The card read on 2026-11-08 puts GLM-5.3 at 1.40 dollars per million input tokens and 4.40 per million output tokens, ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 5 more

Unique Features

  • Open Weights

  • Self-Hosted Deployment

Pricing

Starts from $0.15/million input tokens, also offers free forever plan

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Google Gemini API logo

Google Gemini API — from $0.30

Google Gemini models with a free tier and published per-million-token rates

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Free plan available

What is Google Gemini API?

The Gemini API gives developers access to the Gemini family Google trains, with a rate printed per million tokens for each model and a free tier on several of them. On the card read on 2026-11-08, Gemini 4 Argon is 2.00 dollars per million input tokens and 10.00 per million output tokens ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 5 more

Unique Features

  • Embedding Models

  • Batch Inference

  • Fine-Tuning

Pricing

Starts from $0.30/million input tokens, also offers free forever plan

Perplexity Sonar logo

Perplexity Sonar — from $0.25

Perplexity's own Sonar model, priced per million tokens with live web grounding

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What is Perplexity Sonar?

Sonar is the model Perplexity trains and runs itself, built to answer with citations drawn from a live web index rather than from training data alone. It is sold through the Perplexity API platform at a rate printed per million tokens. On the card read on 2026-11-08, Sonar is 0.25 dollars per ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Streaming API

+ 2 more

Unique Features

No unique features

Pricing

Starts from $0.25/million input tokens

Alibaba Qwen logo

Alibaba Qwen — from $0.05

Qwen models from Alibaba with open weights and regional token rates

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What is Alibaba Qwen?

Qwen is the model family Alibaba trains, released with open weights for many sizes and served commercially through Alibaba Cloud Model Studio, which prints a rate per million tokens for every model. Rates differ by region, and the same model is cheaper in Beijing than in Singapore. On the ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 5 more

Unique Features

  • Open Weights

  • Self-Hosted Deployment

Pricing

Starts from $0.05/million input tokens

DeepSeek logo

DeepSeek — from $0.15

Open-weight DeepSeek models with off-peak token rates and cache pricing

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What is DeepSeek?

DeepSeek trains open-weight reasoning and general models and runs a priced API alongside the weight releases, so the same family can be called over HTTP or hosted on your own hardware. The rate card is unusual in two ways. It prices context cache hits separately from cache misses, and it ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 4 more

Unique Features

  • Open Weights

  • Self-Hosted Deployment

Pricing

Starts from $0.15/million input tokens

OpenAI logo

OpenAI — from $0.05

Frontier GPT models sold by the token through the OpenAI API

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What is OpenAI?

OpenAI develops the GPT family and sells access to it through its own API, with a rate printed per million tokens for every model. The published card separates the tokens a request reads from the tokens the model writes, and steps the rate up once a prompt passes 272,000 tokens. On the rate ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 5 more

Unique Features

  • Embedding Models

  • Batch Inference

  • Fine-Tuning

Pricing

Starts from $0.05/million input tokens

Cohere logo

Cohere — from $0.50

Enterprise Command models with open weights and private deployment

Try for Free

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Free plan available

What is Cohere?

Cohere trains the Command, Embed and Rerank families and sells them for enterprise retrieval and agent work, with a strong emphasis on running inside a customer environment rather than only through a hosted API. Free trial keys let a developer evaluate every model at no cost, capped at 1,000 ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 3 more

Unique Features

  • Open Weights

  • Embedding Models

  • Self-Hosted Deployment

+ 1 more

Pricing

Starts from $0.50/million input tokens, also offers free forever plan

Upstage Solar logo

Upstage Solar — from $0.10

Solar models from Upstage with low published rates and cached input pricing

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What is Upstage Solar?

Upstage trains the Solar family and sells it through its own console with a rate per million tokens printed for each model, separately for fresh input, cached input and output. On the card read on 2026-11-08, Solar Pro 4 is 0.30 per million input tokens, 0.06 for cached input and 1.20 for ...

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Common Features

  • Published Token Pricing

  • Context Window

  • Function Calling

+ 4 more

Unique Features

  • Fine-Tuning

Pricing

Starts from $0.10/million input tokens

xAI Grok competitors, compared

There are 9 direct xAI Grok competitors in Large Language Models (LLMs). The ones that come up most often are IBM Granite, Z.ai and Google Gemini API. Each is compared against xAI Grok on rating, pricing and feature coverage below.

What else works like xAI Grok?

Searches for "sites like xAI Grok" and "apps like xAI Grok" land on the same set of options as "xAI Grok alternatives" — the 9 options below cover both, whether you want a like-for-like replacement or something lighter.

Why these xAI Grok alternatives stand out

What a good xAI Grok alternative should have

What sets these 9 alternatives apart, in the numbers: 3 offer a free tier.

Our ranking criteria.

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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].