Groq vs Mistral AI
- ✦ Ultra-Fast Inference
- ✦ Llama 3 Models
- ✦ Mixtral Models
- ✦ Mistral Large/Small/Nemo
- ✦ Open source models
- ✦ Function calling
Groq and Mistral AI are both Large Language Models tools. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Groq vs Mistral AI
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Groq's LPU delivers Llama 3 inference at 750+ tokens per second, enabling pipelines where Whisper transcription feeds directly into an LLM analysis step with a total round-trip under 500ms.
Groq's time-to-first-token under 100ms enables natural-feeling voice conversational interfaces where LLM response latency is the bottleneck, not TTS or ASR.
Groq's per-token cost on Llama 3 8B is under $0.06 per million tokens, making high-volume classification or extraction tasks that previously required GPU servers economically viable via API.
Self-host Mistral Small to keep customer data within EU borders. Regulatory review drops from 90 days to 14 days when inference stays fully on-premise.
Route customer queries to database lookup, calculator, or human agent via structured function calls. Cost drops from $3K to $900 per 100K support tickets.
Pixtral processes receipts, photos, and ID scans in one model call. JSON mode syncs outputs to underwriting backends - 5,000 documents daily at 92% first-pass accuracy.
Pricing Comparison & PlansHigh· Verified May 30, 2026
Groq Plans
Free tier available
Free
FreeBest for: 14,400 req/day is enough for dev and low-traffic apps - start here before paying anything.
- ✓Build and Test on Groq APIs
- ✓Community Support
- ✓Zero-data Retention Available
Developer
Contact Sales- ✓Build and Test on Groq APIs
- ✓Community Support
- ✓Zero-data Retention Available
- ✓Higher Token Limits
- ✓Chat Support
Enterprise
Contact Sales- ✓Build and Test on Groq APIs
- ✓Community Support
- ✓Zero-data Retention Available
- ✓Higher Token Limits
- ✓Chat Support
Mistral AI Plans
Free tier available
Free
FreeBest for: Ideal for individuals exploring basic AI capabilities and testing the platform without commitment
- ✓Personal AI assistant
- ✓Chat, search, learn, create with Le Chat
- ✓Access to Mistral's SOTA AI models
- ✓Generate pictures
- ✓Group chats into projects
Pro
$15/user/moBest for: individual developers or small teams needing dedicated access and more robust features
- ✓Access to Mistral's SOTA AI models
- ✓Save and recall up to 1,000 memories
- ✓Up to 15GB Libraries
- ✓Group chats into projects
- ✓40+ enterprise connectors
Team
$25/user/moBest for: Suited for growing teams requiring collaborative features and higher usage limits
- ✓Access to Mistral's SOTA AI models
- ✓Save and recall up to 1,000 memories
- ✓Up to 15GB Libraries
- ✓Group chats into projects
- ✓40+ enterprise connectors
Enterprise
Contact SalesBest for: Designed for large organizations with specific security, compliance, and scalability needs
- ✓Custom Voice mode
- ✓Custom Agents
- ✓Custom Mistral Vibe in Le Chat
- ✓Custom Mistral Vibe CLI
- ✓Custom Async coding agents
Capability Breakdown
16 differences found across 33 standardized features
- •Ultra-Fast Inference
- •Llama 3 Models
- •Mixtral Models
- •Gemma Models
- •OpenAI-Compatible API
- •Function Calling
- •JSON Mode
- •Streaming
- •Tool Use
- •Low Latency
- •High Throughput
- •Free Tier
- •Python SDK
- •JavaScript SDK
- •LPU Hardware
- •Mistral Large/Small/Nemo
- •Open source models
- •Function calling
- •JSON mode
- •Multimodal (Pixtral)
- •Self-hostable
- •Fast inference
- •Code generation
- •Le Chat assistant
- •Agents API
- •Batch processing
- •European data compliance
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +World's fastest inference speed (500+ tokens/sec)
- +Custom LPU hardware eliminates sequential processing bottlenecks
- +OpenAI-compatible API for seamless, drop-in integration
- +Predictable, low-latency performance regardless of load
- +Generous free tier for development and testing
- −Very limited selection of open-source models (no GPT-4, Claude)
- −No support for fine-tuning or custom model hosting
- −Lacks advanced features like function calling or JSON mode on some models
- −Rate limits can be a bottleneck for high-throughput applications
- −Newer hardware, less proven for enterprise-scale reliability
- +Leading open-weight models (Mistral 7B, Mixtral 8x7B)
- +Optimized for high performance with lower computational cost
- +European-based, offering strong data sovereignty compliance
- +Flexible self-deployment options for open models
- +Competitive pay-as-you-go API pricing for commercial models
- −Tooling and ecosystem are less mature than OpenAI's
- −Limited multimodality; primarily focused on text generation
- −Fewer fine-tuning options and documentation for beginners
- −Enterprise-grade support and features are still evolving
- −Smaller context windows on some models vs. top competitors
At a Glance
Recent Price History
Groq added a new "Developer" plan (Custom pricing)
Plan added · May 30, 2026
Groq removed the "Pay-as-you-go" plan
Plan removed · May 30, 2026
Mistral AI removed the "Pay-as-you-go (API)" plan
Plan removed · May 30, 2026
Mistral AI removed the "Le Chat Pro" plan
Plan removed · May 30, 2026
Mistral AI removed the "Le Chat Free" plan
Plan removed · May 30, 2026
Mistral AI added a new "Team" plan at $24.99/user/mo
Plan added · May 30, 2026
Mistral AI added a new "Pro" plan at $14.99/user/mo
Plan added · May 30, 2026
Groq added a new "Enterprise" plan
Plan added · May 21, 2026
Frequently Asked Questions
Related Comparisons
Sources & Data Trail · Groq
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-05-30)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.7/5 · 915 reviews
- 4.PeerSpot·PeerSpot enterprise peer reviews
Sources & Data Trail · Mistral AI
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-05-30)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.5/5 · 13 reviews