AI & LLM API
Groq
AI Application Developers · Global · Specification audit
Groq is a ai & llm api platform built for AI Application Developers teams operating in Global. Available on a permanently free entry tier, it competes in the AI & LLM API segment by offering a combination of lpu architecture delivers 300–750 tokens/second — 10–25x faster than gpu-based apis and free tier includes 30 rpm and 14,400 rpd on llama 3.3 and mixtral — zero cost to test. The vendor lists SOC2 as supported compliance framework in its official documentation. Verify current compliance status with the vendor before deployment in regulated environments. Infrastructure is distributed across US data centres, giving Global operators control over data residency and latency requirements.
VektorIndex Score™
Composite specification quality score. Based on compliance coverage, integration depth, pricing transparency, and vendor verification.
| Dimension | Score | Max |
|---|---|---|
| Compliance coverage | 4 | 20 |
| Integration depth | 16 | 20 |
| Specification richness | 12 | 15 |
| Risk transparency | 9 | 9 |
| Hosting regions documented | 3 | 9 |
| API data available | 7 | 7 |
| Vendor verified listing | 0 | 10 |
| Pricing transparency | 10 | 10 |
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Specification Data
| Metric | Value |
|---|---|
| Starting Price | Free plan available |
| API Rate Limit | 30 req/min |
| Market | Global |
| Target Segment | AI Application Developers |
| Data Hosting Regions | US |
| Compliance Frameworks | SOC2 Per vendor documentation — not independently audited |
| Native Integrations | LangChainVercel AI SDKLlamaIndexOpenAI-compatible clients |
Sourced from vendor documentation. Not independently audited.
Core Operational Advantages
Vendor-statedLPU architecture delivers 300–750 tokens/second — 10–25x faster than GPU-based APIs
Free tier includes 30 RPM and 14,400 RPD on Llama 3.3 and Mixtral — zero cost to test
Sub-300ms latency for most completions — enables real-time AI voice and chat experiences
Runs open-source models (Llama, Mistral, Gemma) without vendor lock-in
Known Risks to Validate
Per documentationLimited model selection vs OpenAI — no GPT-4o or Claude equivalent available
Context windows smaller than Claude or Gemini — max 128k tokens on most models
No fine-tuning support — must use models as-is or switch to another provider
Who Is This For?
Groq is best suited for AI Application Developers in Global that need lpu architecture delivers 300–750 tokens/second — 10–25x faster than gpu-based apis. Teams that require free tier includes 30 rpm and 14,400 rpd on llama 3.3 and mixtral — zero cost to test will find the feature set well-aligned with day-to-day operational demands. Validate the documented risks listed above with the vendor before committing budget.
Documented Risks to Review
Groq has 3 documented risks worth validating before deployment
Teams deploying Groq for compliance-sensitive workloads should validate these risk areas with the vendor. Our drop-in middleware may help address some of these — no data leaves your infrastructure.
Bottom Line
Based on this specification audit, Groq delivers 4 documented operational advantages for AI Application Developers teams, with 3 identified risk areas to validate before deployment. A free entry plan is available, making it low-risk to evaluate before committing budget. Native integrations with LangChain, Vercel AI SDK, LlamaIndex cover the most common ai application developers stack dependencies without requiring custom middleware. The API rate limit of 30 requests per minute is adequate for standard automation workloads but may require negotiation for high-volume programmatic use cases.
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Get a Technology Assessment →Frequently Asked Questions
- How much does Groq cost?
- Groq offers a permanently free plan. Paid tiers with additional features are available — check the vendor's current pricing page for up-to-date tier details.
- Which compliance frameworks does Groq list?
- Groq lists the following compliance frameworks in its vendor documentation: SOC2. VektorIndex has not independently audited these claims. Request a current Data Processing Agreement before deployment in regulated environments.
- What is Groq's documented API rate limit?
- Groq documents an API rate limit of 30 requests per minute on its standard tier. Enterprise plans may offer higher limits — contact the vendor's sales team for custom rate agreements. Verify on the vendor's developer documentation before building integrations.
- What platforms does Groq integrate with natively?
- Groq maintains native integrations with: LangChain, Vercel AI SDK, LlamaIndex, OpenAI-compatible clients. Additional integrations are available via Zapier, Make, or the vendor's public API.
- Where is Groq data hosted?
- Groq lists data infrastructure in the following regions: US. Teams with strict data residency requirements should confirm the exact region configuration with the vendor prior to deployment.
Data provenance: Specifications sourced from official vendor documentation (pricing pages, DPAs, security whitepapers). Data is not independently audited by VektorIndex. Community-sourced data. Last updated: 29 August 2026. This is the date the record was last edited — not an independent verification. If you are a vendor and this data is outdated, claim this listing to update it.
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