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Groq vs Mistral AI Comparison

Last updated:

Groq

4.6(310 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Groq is an AI inference company that provides the fastest publicly available LLM API, powered by its proprietary Language Processing Units (LPUs). Where GPU-based inference delivers 50-100 tokens/second, Groq routinely h…

Mistral AI

4.5(420 reviews)

Starting at Free free

  • Small Business
  • Mid-Market

Mistral AI is a French AI company building frontier open-weight language models and a commercial API platform. Its models — Mistral 7B, Mixtral 8x7B, Mistral Large, and Mistral Small — offer state-of-the-art performance…

Groq leads on user satisfaction with a 4.6-star rating across 310 reviews.

Groq vs Mistral AI — at a glance

FeatureGroqMistral AI
Rating4.6 / 54.5 / 5
Reviews310420
Starting priceFree freeFree free
Free trial No No
Free version No No
Best forSmall Business, Mid-Market, EnterpriseSmall Business, Mid-Market, Enterprise
CategoryGenerative AI Infrastructure SoftwareGenerative AI Infrastructure Software
PlatformsCloud, On-PremiseCloud, On-Premise
APIAvailableAvailable
Support modesDeveloper Discord, Help Center, Email Support, Enterprise SupportDeveloper Discord, Help Center, Email Support, Enterprise Support

Key differences between Groq and Mistral AI

  • Pricing: Groq starts at Free free, while Mistral AI starts at Free free.
  • User satisfaction: Groq scores higher with a 4.6-star average.
  • Deployment: Groq supports Cloud, On-Premise; Mistral AI supports Cloud, On-Premise.

Groq vs Mistral AI — find the better fit before you commit.

01

Which tool fits your team best

02

Which is actually cheaper for your team size

03

Where each product wins, per real buyers

Most Generative AI Infrastructure Software tools look identical on paper. This comparison cuts to the differences that matter — pricing structure, team fit, and what real buyers found after signing up.

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Biggest differences

Start here before you go deeper into features.

Groq

Best for

Small Business, Mid-Market, Enterprise

Mistral AI

Best for

Small Business, Mid-Market, Enterprise

Groq typically suits Small Business and Mid-Market. Mistral AI tends to fit Small Business and Mid-Market better. The right choice depends on your team size, workflow, and whether a free trial matters.

Description

Groq is an AI inference company that provides the fastest publicly available LLM API, powered by its proprietary Language Processing Units (LPUs). Where GPU-based inference delivers 50-100 ... Read More about Groq

Mistral AI is a French AI company building frontier open-weight language models and a commercial API platform. Its models — Mistral 7B, Mixtral 8x7B, Mistral Large, and Mistral Small — ... Read More about Mistral AI

Entry Level Pricing

  • Starts from Free
  • Starts from Free

Free Trial Availability

  • No free trial
  • No free trial

SpotScore

What's this? ↗

9.2/10

9.0/10

User Ratings

Based on verified Spotsaas reviews
Get pricing help
Get pricing help

Where each option fits best

See where each product is strongest, which teams it fits, and what causes buyers to keep looking — before you commit.

Based on buyer reviews and verified product data collected by Spotsaas.

Strengths

Key strengths

Groq

  • Real-Time AI Interactions: At 500+ tokens/second, Groq lets you get AI responses that feel instantaneous — important for voice agents, live coding assistants, and customer-facing chatbots.
  • Drop-In OpenAI Replacement: OpenAI SDK compatibility means switching from GPT-3.5 to Groq-hosted Llama 3 requires changing one line of code — no integration work.
  • Cost Efficiency at Scale: Groq's per-token pricing for open-source models is significantly cheaper than proprietary model APIs at comparable intelligence levels.

Mistral AI

  • EU Data Sovereignty: Mistral's French infrastructure and GDPR-compliant API make it the default choice for European enterprises that cannot route data through US AI providers.
  • Open-Weight Flexibility: Apache 2.0 licensed models can be self-hosted, fine-tuned, and deployed without per-token API costs — enabling AI at scale with predictable infrastructure costs.
  • Efficiency-Optimized Models: Mixtral's MoE architecture achieves GPT-3.5-level quality at a fraction of the parameters, reducing inference cost for high-volume production workloads.
Best fit

Best fit

Groq

  • Voice AI companies needing sub-200ms LLM response times for natural-feeling conversational agents
  • Coding assistant products requiring real-time code generation without the lag of GPU inference
  • Teams replacing GPT-3.5 with open-source Llama 3 on Groq for cost reduction at high API call volumes

Mistral AI

  • European enterprises needing GDPR-compliant AI with EU data residency for customer-facing applications
  • Companies self-hosting open-weight Mixtral models to eliminate per-token API costs at high volumes
  • AI teams fine-tuning Mistral base models on proprietary data for specialized domain applications

Software Demo

Demo

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Step 1 of 4

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How do Groq and Mistral AI Compare on Features?

Total Features

4 Features

6 Features

Unique Features

No unique features

No unique features

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Get Quote

Compare Groq and Mistral AI on pricing

Review starting price, plan structure, and free-trial access side by side so you can see which option fits your budget and buying process.

Pricing Option

      Starting From

      • Free
      • Free

      Pricing Plans

      • Free

        Free

        • Rate-limited API access

        • All public models

        • Developer console

        Show more +

      • Developer

        Custom

        paid

        • Higher rate limits

        • Pay-per-token

        • All models

        Show more +

      • Enterprise

        Custom

        paid

        • Dedicated capacity

        • SLA

        • On-premise LPU option

        Show more +

      • Free

        Free

        • Rate-limited API

        • Open models

        • Developer console

        Show more +

      • Pay-as-you-go

        Custom

        paid

        • All models

        • Higher limits

        • Standard support

      • Enterprise

        Custom

        paid

        • EU data residency

        • Dedicated capacity

        • Fine-tuning

        Show more +

      Other Details

      Organization Types supported

          Platforms Supported

          • Browser Based (Cloud)
          • Browser Based (Cloud)

          Modes of support

          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online

          API Support

          • Available
          • Available
          Get help choosing
          Get help choosing

          Groq User Reviews & Rating Comparison

          User Ratings

          4.6

          (based on 310 reviews)

          4.5

          (based on 420 reviews)

          Rating Distribution

          0

          0

          0

          0

          0

          0

          0

          0

          0

          0

          Spotsaas Editor’s POV generated by AI

          Buyer sentiment

          Buyer sentiment is very strong across 310 reviews, with consistently positive feedback.

          What buyers like

          • 5-10x faster than GPU-based inference — the speed difference is perceptible in real-time applications like voice agents and interactive coding assistants.
          • OpenAI-compatible API means existing applications built on the OpenAI SDK can switch to Groq with a single environment variable change.
          • Free tier with generous rate limits makes evaluation and prototyping accessible without upfront cost commitment.

          Common complaints

          • Model selection is limited to open-source models (Llama, Mixtral, Gemma) — teams requiring GPT-4 or Claude must use other providers.
          • Free tier rate limits are hit quickly at production volumes; scaling to meaningful throughput requires transitioning to paid usage-based pricing.

          Buyer sentiment

          Buyer sentiment is very strong across 420 reviews, with consistently positive feedback.

          What buyers like

          • Open-weight models (Apache 2.0) enable full self-hosting — companies can run Mistral models on their own infrastructure with zero API dependency.
          • EU-based with GDPR-compliant data residency — a critical differentiator for European enterprises and regulated industries that cannot use US AI providers.
          • Mixtral's Mixture-of-Experts architecture delivers near-GPT-4 quality at a fraction of the compute cost, making it highly efficient for high-volume deployments.

          Common complaints

          • Model quality on complex reasoning tasks still trails GPT-4o and Claude 3.5 Sonnet — teams requiring frontier-level performance may need to benchmark carefully.
          • Smaller ecosystem of fine-tuned variants and community tools compared to OpenAI — less off-the-shelf tooling available for specialized domains.

          Pros and Cons

          • 5-10x faster than GPU-based inference — the speed difference is perceptible in real-time applications like voice agents and interactive coding assistants.

          • OpenAI-compatible API means existing applications built on the OpenAI SDK can switch to Groq with a single environment variable change.

          • Free tier with generous rate limits makes evaluation and prototyping accessible without upfront cost commitment.

          • Model selection is limited to open-source models (Llama, Mixtral, Gemma) — teams requiring GPT-4 or Claude must use other providers.

          • Free tier rate limits are hit quickly at production volumes; scaling to meaningful throughput requires transitioning to paid usage-based pricing.

          • Open-weight models (Apache 2.0) enable full self-hosting — companies can run Mistral models on their own infrastructure with zero API dependency.

          • EU-based with GDPR-compliant data residency — a critical differentiator for European enterprises and regulated industries that cannot use US AI providers.

          • Mixtral's Mixture-of-Experts architecture delivers near-GPT-4 quality at a fraction of the compute cost, making it highly efficient for high-volume deployments.

          • Model quality on complex reasoning tasks still trails GPT-4o and Claude 3.5 Sonnet — teams requiring frontier-level performance may need to benchmark carefully.

          • Smaller ecosystem of fine-tuned variants and community tools compared to OpenAI — less off-the-shelf tooling available for specialized domains.

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

          Frequently asked questions

          Which is better, Groq or Mistral AI?
          Groq edges out the other on user ratings (4.6 vs 4.5). That said, the best pick depends on your use case — use the comparison tables above to evaluate each dimension.
          Do Groq and Mistral AI offer a free trial?
          Neither Groq nor Mistral AI currently lists a free trial.
          What is the starting price of Groq vs Mistral AI?
          Groq starts at Free free. Mistral AI starts at Free free.