Skip to content

Groq vs Together AI: Which is Better in 2026?

Choosing between Groq and Together AI comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.

Bottom line: Groq is our overall pick for AI model deployment workflows. Pick Together AI if you need AI & automation.

··Methodology
Editor reviewed0 verified reviews comparedPricing checked May 2026

Short on time? Here's the quick answer

We've tested both tools. Here's who should pick what:

Groq

Ultra-fast LLM inference platform

Best for you if:

  • • You need AI model deployment features specifically
  • AI inference platform using custom LPU chips for the fastest open-source model execution available
  • Pay-per-token pricing starting at $0.05/M input tokens, with batch and caching discounts up to 50%

Together AI

Run open-source LLMs with serverless inference and fine-tuning

Best for you if:

  • • You need AI & automation features specifically
  • Together AI is an inference platform for open-source AI models
  • It provides fast, affordable access to leading open models
At a Glance
GroqGroq
Together AITogether AI
Starts at
Paid
Paid
Best For
AI Model DeploymentAI & Automation
Rating
--

Choose Groq or Together AI?

Groq

Choose Groq if

Ultra-fast LLM inference platform

  • Fastest inference speeds available, often 500-1000+ tokens per second on supported models
  • Transparent per-token pricing with no monthly fees or minimum spend
  • Drop-in replacement for OpenAI API with minimal integration effort
  • Your work is AI model deployment-shaped, not AI & automation-shaped
Together AI

Choose Together AI if

Run open-source LLMs with serverless inference and fine-tuning

  • Many open models
  • Competitive pricing
  • Fast inference
  • Your work is AI & automation-shaped, not AI model deployment-shaped
FeatureGroqTogether AI
Pricing ModelPay_per_usePaid
User RatingNo ratings yet
4.8/5
5 reviews
Categories
AI Model DeploymentCloud & Infrastructure
AI & AutomationCloud & Infrastructure

In-Depth Analysis

GroqGroq

Ultra-fast LLM inference platform

Strengths

  • +Fastest inference speeds available, often 500-1000+ tokens per second on supported models
  • +Transparent per-token pricing with no monthly fees or minimum spend
  • +Drop-in replacement for OpenAI API with minimal integration effort
  • +Wide model selection spanning LLMs, speech recognition, and text-to-speech
  • +Prompt caching and batch API cut costs significantly for high-volume workloads

Weaknesses

  • -No proprietary frontier model, relies entirely on open-source model ecosystem
  • -Model selection is narrower than major cloud providers like AWS Bedrock or Azure AI
  • -Text-to-speech limited to a small number of languages and voices
  • -No built-in fine-tuning or model customization capabilities
  • -Enterprise on-premises pricing requires custom sales engagement with no public rates

Key features

Custom LPU inference chip delivering sub-second latency on large language modelsOpenAI-compatible API requiring minimal code changes to migrate existing applicationsSupport for 10+ open-source LLMs including Llama 4, Qwen3, and GPT-OSS familiesWhisper-based automatic speech recognition at up to 228x real-time speedText-to-speech generation via Canopy Labs Orpheus models in multiple languagesPrompt caching with 50% input token discount for repeated context
Starts at Paid

Together AITogether AI

Run open-source LLMs with serverless inference and fine-tuning

Strengths

  • +Many open models
  • +Competitive pricing
  • +Fast inference
  • +Good for startups
  • +Fine-tuning available

Weaknesses

  • -Smaller than big providers
  • -Model quality varies
  • -Support basic
  • -Documentation gaps
  • -Newer platform

Key features

LLM inferenceImage generationFine-tuningGPU cloudBatch processingCode execution
Starts at Paid

Pricing: Groq vs Together AI

PlanGroqTogether AI
Tier 1
Free
Free Tier
Serverless Inference
Tier 2
Pay-as-you-go
Fine-Tuning
Tier 3
Enterprise
GPU Cloud

Pricing verified from each vendor's public pricing page. Compare in detail on Groq pricing and Together AI pricing.

Who Should Use What?

On a budget?

Both are pay_per_use. Compare plans on their websites.

Go with: Groq

Want the highest-rated option?

Neither has user reviews yet.

Go with: Groq

Value user reviews?

Neither has user reviews yet.

Go with: Groq

3 Questions to Help You Decide

1

What's your budget?

Groq is pay_per_use. Together AI is paid.

2

What's your use case?

Groq is a AI model deployment tool. Together AI is in AI & automation. Pick the category that matches your needs.

3

How important are ratings?

Neither has user reviews yet.

Key Takeaways

Groq

  • Our pick for this comparison

Together AI

  • Better fit for AI & automation

The Bottom Line

Groq is our pick.

Frequently Asked Questions

Is Groq or Together AI better?

Groq is rated in our evaluation. Groq is pay_per_use and Together AI is paid.

What are Groq and Together AI used for?

Groq: Ultra-fast LLM inference platform. Together AI: Run open-source LLMs with serverless inference and fine-tuning.

What does Groq cost vs Together AI?

Groq is a paid tool. Together AI is a paid tool. Visit their websites for detailed pricing.

Related Comparisons & Resources

Compare other tools