Groq API Pricing in 2026: Free Tier Limits, Rate Limits, Paid Models, and Is the Speed Worth the Cost?
TokenMix Research Lab · 2026-04-03

Groq API Pricing in 2026: Free Tier Limits, Rate Limits, Every Model, and Is the Speed Worth It?
Groq is the fastest LLM inference provider in 2026 — pushing 300-1,000 tokens per second on its custom LPU hardware. The free tier gives you access to every model with no credit card. But "fast and free" has limits: rate caps, model selection restricted to open-source, and paid tiers that aren't always cheaper than going direct. This guide breaks down Groq's real pricing, compares it against OpenAI, Anthropic, and DeepSeek, and tells you exactly when Groq's speed advantage justifies the cost. Pricing data tracked by [TokenMix.ai](https://tokenmix.ai) as of April 2026.
Table of Contents
- [Quick Pricing Overview]
- [Groq Free Tier Limits in 2026: What You Actually Get]
- [Groq API Free Tier Rate Limits by Model (April 2026)]
- [Paid Tier Pricing: Every Model]
- [Groq's Speed Advantage: Is It Worth Paying For?]
- [Full Comparison: Groq vs OpenAI vs Anthropic vs DeepSeek]
- [Real-World Cost Scenarios]
- [How to Choose: Groq vs Alternatives]
- [Conclusion]
- [FAQ]
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Quick Pricing Overview
All prices per 1M tokens, Groq paid tier, as of April 2026:
| Model | Speed | Input | Output | Best For | | ----------------------- | --------- | ------ | ------ | --------------------------- | | Llama 3.1 8B Instant | 840 TPS | $0.05 | $0.08 | Fastest simple tasks | | GPT-OSS 20B | 1,000 TPS | $0.075 | $0.30 | Budget production | | Llama 4 Scout (17Bx16E) | 594 TPS | $0.11 | $0.34 | MoE efficiency | | Qwen3 32B | 662 TPS | $0.29 | $0.59 | Multilingual, reasoning | | GPT-OSS 120B | 500 TPS | $0.15 | $0.60 | Strong open-source flagship | | Llama 3.3 70B Versatile | 394 TPS | $0.59 | $0.79 | Best quality on Groq |
**Key difference from other providers:** Groq only runs open-source models. No [GPT-5.4](https://tokenmix.ai/blog/gpt-5-api-pricing), no Claude, no Gemini. If you need those, Groq isn't an option — it's a complement.
Cached input tokens get 50% off. [Batch API](https://tokenmix.ai/blog/openai-batch-api-pricing) gives another 50% off with 24-hour turnaround.
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Groq Free Tier Limits in 2026: What You Actually Get
Groq's free tier is one of the most generous in the industry. No credit card required. Access to every model.
| Limit Type | Free Tier | Developer Tier | | ------------------ | ---------------------- | ------------------ | | Rate limits | Base | Up to 10x base | | Models available | All | All | | Credit card needed | No | Yes | | Cost discount | Standard pricing | 25% off all tokens | | Daily request cap | ~14,400/day (8B model) | Higher caps |
**What the free tier is good for:**
- Prototyping and testing before committing to a provider
- Hobby projects with low traffic
- Evaluating Groq's speed advantage against your current provider
- Learning and experimentation
**What the free tier is NOT good for:**
- Production workloads ([rate limits](https://tokenmix.ai/blog/ai-api-rate-limits-guide) will bottleneck)
- Anything requiring consistent throughput during peak hours
- Workloads above ~500 requests/day on larger models
**Upgrade math:** The Developer tier costs 25% less per token and gives up to 10x rate limits. If you're spending more than ~$10/month on Groq, the upgrade pays for itself immediately.
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Groq API Free Tier Rate Limits by Model (April 2026)
The most common question developers ask: what are the exact Groq free tier limits? Here are the current rate limits for every model on Groq's free tier:
| Model | Requests/Min | Tokens/Min | Requests/Day | Context | |-------|-------------|------------|-------------|---------| | Llama 3.1 8B | 30 | 6,000 | 14,400 | 128K | | Llama 3.3 70B | 30 | 6,000 | 14,400 | 128K | | Llama 4 Scout | 30 | 6,000 | 14,400 | 512K | | Qwen3 32B | 30 | 6,000 | 14,400 | 131K | | Mixtral 8x7B | 30 | 5,000 | 14,400 | 32K | | GPT-OSS 20B | 30 | 6,000 | 14,400 | 128K | | Whisper Large v3 | 20 | — | 2,000 | — |
**Key Groq free tier rate limit rules:**
1. **30 requests per minute** is the standard cap across most models. This is enough for testing and prototyping, not for production. 2. **6,000 tokens per minute** is the real bottleneck. A single long prompt can eat half your per-minute budget. 3. **14,400 requests per day** sounds generous, but the per-minute limit means you can't burst — you'll hit the RPM cap long before the daily cap. 4. **Rate limits apply at the organization level**, not per API key. Multiple keys won't bypass the limits.
**How to check your current Groq rate limits:** The API response headers include and . Monitor these to avoid 429 errors.
**Groq Developer tier upgrade:** For /usr/bin/bash (just add a credit card), you get up to 10x the free tier rate limits plus a 25% discount on all token costs. If you're hitting free tier limits regularly, the Developer tier upgrade is the obvious first move.
Paid Tier Pricing: Every Model
Language Models
| Model | Input/M | Output/M | Speed (TPS) | Context | | ----------------------- | ------- | -------- | ----------- | ------- | | Llama 3.1 8B Instant | $0.05 | $0.08 | 840 | 128K | | GPT-OSS 20B 128K | $0.075 | $0.30 | 1,000 | 128K | | GPT-OSS Safeguard 20B | $0.075 | $0.30 | 1,000 | 128K | | Llama 4 Scout (17Bx16E) | $0.11 | $0.34 | 594 | 512K | | GPT-OSS 120B 128K | $0.15 | $0.60 | 500 | 128K | | Qwen3 32B 131K | $0.29 | $0.59 | 662 | 131K | | Llama 3.3 70B Versatile | $0.59 | $0.79 | 394 | 128K |
Speech Models
| Model | Price | Speed | | ---------------------- | ----------- | -------------- | | Whisper Large v3 Turbo | $0.04/hour | 228x real-time | | Whisper V3 Large | $0.111/hour | 217x real-time |
Built-In Tools
| Tool | Price | | --------------- | ----------------- | | Basic Search | $5/1,000 requests | | Advanced Search | $8/1,000 requests | | Visit Website | $1/1,000 requests | | Code Execution | $0.18/hour |
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Groq's Speed Advantage: Is It Worth Paying For?
Groq's LPU (Language Processing Unit) hardware delivers 3-10x faster inference than GPU-based providers. Here's how that translates to real numbers:
| Provider | Model (comparable) | Tokens/Second | Time to 1,000 tokens | | --------- | ------------------ | ------------- | -------------------- | | **Groq** | Llama 3.3 70B | 394 TPS | 2.5 seconds | | OpenAI | GPT-5.4 Mini | ~80 TPS | 12.5 seconds | | Anthropic | Claude Haiku 4.5 | ~100 TPS | 10 seconds | | DeepSeek | V4 | ~50 TPS | 20 seconds |
**When speed matters (worth paying Groq's premium):**
- Real-time chatbots where latency = user experience
- Coding assistants where developers wait for completions
- Voice AI pipelines where response delay breaks conversation flow
- Any UX where the user is watching the output stream
**When speed doesn't matter (save money elsewhere):**
- Batch processing (24-hour latency tolerance)
- Background pipelines (content generation, data enrichment)
- Internal tools where a 10-second wait is acceptable
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Full Comparison: Groq vs OpenAI vs Anthropic vs DeepSeek
Comparing similar-capability models at each tier:
Budget Tier
| Model | Input/M | Output/M | Speed | Context | | -------------- | ------- | -------- | -------- | ------- | | Groq Llama 8B | $0.05 | $0.08 | 840 TPS | 128K | | GPT-5.4 Nano | $0.20 | $1.25 | ~100 TPS | 400K | | Claude Haiku 3 | $0.25 | $1.25 | ~80 TPS | 200K |
Groq is **4x cheaper on input and 15x cheaper on output** than GPT Nano — plus 8x faster.
Mid Tier
| Model | Input/M | Output/M | Speed | Quality (approx) | | ---------------- | ------- | -------- | -------- | ---------------- | | Groq Llama 70B | $0.59 | $0.79 | 394 TPS | ~GPT-4o level | | GPT-5.4 Mini | $0.75 | $4.50 | ~80 TPS | GPT-4o+ level | | Claude Haiku 4.5 | $1.00 | $5.00 | ~100 TPS | Haiku level | | DeepSeek V4 | $0.30 | $0.50 | ~50 TPS | Frontier level |
Groq Llama 70B is cheaper than GPT Mini and Claude Haiku on output, but **[DeepSeek V4](https://tokenmix.ai/blog/deepseek-api-pricing) beats everyone on price** while offering frontier-level quality (albeit slower).
Key Insight
Groq's value proposition is **speed + open-source models at competitive prices**. It's not the cheapest (DeepSeek wins that), and it doesn't have proprietary models (no GPT/Claude/Gemini). But for latency-sensitive applications using open-source models, nothing else comes close.
Through [TokenMix.ai](https://tokenmix.ai), you can access Groq's models alongside GPT, Claude, and DeepSeek through a single API — routing latency-sensitive requests to Groq and cost-sensitive batch work to DeepSeek automatically.
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Real-World Cost Scenarios
Scenario 1: Real-time chatbot — 500 conversations/day
- Average: 800 input + 400 output tokens per conversation
- Monthly: ~12M input, ~6M output tokens
| Provider / Model | Monthly Cost | Avg Response Time | | ---------------- | ------------ | ----------------- | | Groq Llama 70B | $11.82 | ~2.5 seconds | | GPT-5.4 Nano | $9.90 | ~10 seconds | | DeepSeek V4 | $6.60 | ~20 seconds | | Claude Haiku 4.5 | $42.00 | ~10 seconds |
**Groq costs $5 more than DeepSeek but responds 8x faster.** For user-facing chatbots, the speed difference is worth far more than $5/month.
Scenario 2: Coding assistant — 2,000 completions/day
- Average: 2,000 input + 1,000 output tokens per completion
- Monthly: ~120M input, ~60M output tokens
| Provider / Model | Monthly Cost | Speed | | ---------------- | ------------ | ----------------- | | Groq Llama 70B | $118.20 | 394 TPS (instant) | | GPT-5.4 Mini | $360.00 | ~80 TPS | | DeepSeek V4 | $66.00 | ~50 TPS |
**Groq saves $242/month vs GPT Mini and delivers 5x faster completions.** For developer productivity, this is the clear winner.
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How to Choose: Groq vs Alternatives
| Your Situation | Recommended | Why | | ---------------------------------------- | --------------------- | ----------------------------------------- | | Need fastest possible inference | **Groq** | 300-1,000 TPS, nothing else comes close | | Need GPT-5.4 or Claude quality | OpenAI / Anthropic | Groq only runs open-source models | | Cost is everything, speed optional | DeepSeek V4 | Cheapest frontier model at $0.30/$0.50 | | Need open-source models + speed | **Groq** | Purpose-built for this exact use case | | Need multi-model with failover | TokenMix.ai | Groq + GPT + Claude in one API | | Free prototyping, no credit card | **Groq free tier** | Most generous free tier in the industry | | Batch processing, latency doesn't matter | DeepSeek or GPT Batch | Groq's speed advantage is wasted on batch |
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**Related:** [Compare all model pricing in our complete LLM API pricing comparison](https://tokenmix.ai/blog/llm-api-pricing-comparison)
Conclusion
Groq occupies a unique position in 2026: the fastest inference provider, with a generous free tier, running exclusively open-source models. For latency-sensitive applications — chatbots, coding assistants, voice AI — Groq's 3-10x speed advantage over GPU-based providers is a genuine differentiator.
The limitation is clear: no proprietary models. If you need GPT-5.4, Claude, or Gemini, Groq isn't an option — it's a complement. The optimal setup for many teams is Groq for real-time, user-facing requests + a provider like [TokenMix.ai](https://tokenmix.ai) for multi-model access and batch processing.
[Llama 3.3 70B](https://tokenmix.ai/blog/llama-3-3-70b) on Groq at $0.59/$0.79 delivers GPT-4o-level quality at 5x the speed and 60% lower output cost. For open-source model inference, that's hard to beat.
Real-time pricing for Groq and 155+ other models at [tokenmix.ai/models](https://tokenmix.ai/models).
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FAQ
Is Groq API free?
Yes, Groq offers a free tier with no credit card required. You get access to every model with base rate limits (~14,400 requests/day on smaller models). The Developer tier adds 10x rate limits and 25% token discount for a credit card on file.
How fast is Groq compared to OpenAI?
Groq delivers 300-1,000 tokens per second depending on model size. OpenAI's GPT-5.4 runs at approximately 80 TPS. That's 4-12x faster on Groq. A 1,000-token response takes ~2.5 seconds on Groq vs ~12.5 seconds on OpenAI.
Does Groq support GPT-5.4 or Claude?
No. Groq only runs open-source models (Llama, Qwen, Mistral, etc.) on its custom LPU hardware. For GPT or Claude access, use OpenAI/Anthropic directly or a unified gateway like TokenMix.ai.
How much does Groq cost per million tokens?
Ranges from $0.05/M input (Llama 8B) to $0.59/M input (Llama 70B). Output: $0.08/M to $0.79/M. Cached input is 50% off. Batch processing is 50% off. Developer tier gets 25% discount on all tokens.
Is Groq cheaper than OpenAI?
For comparable quality models, yes. Groq Llama 70B ($0.59/$0.79) vs GPT-5.4 Mini ($0.75/$4.50) — Groq is 21% cheaper on input and 82% cheaper on output. But Groq doesn't offer GPT-5.4 flagship quality.
When should I use Groq vs DeepSeek?
Use Groq when speed matters (real-time chat, coding, voice). Use DeepSeek when cost matters (batch processing, background tasks). DeepSeek V4 is cheaper ($0.30/$0.50) but 8-10x slower. Groq is faster but 2x more expensive on input.
What are Groq's free tier rate limits in 2026?
Groq's free tier allows 30 requests per minute and 6,000 tokens per minute for most models, with a daily cap of 14,400 requests. These limits apply at the organization level. The Developer tier (free upgrade with credit card) provides up to 10x higher limits.
How do I increase my Groq API rate limits?
Upgrade to the Developer tier by adding a credit card to your Groq account. This gives you up to 10x the free tier rate limits and a 25% discount on token costs. No minimum spend required. For higher limits, contact Groq's Enterprise sales team.
Does Groq's free tier require a credit card?
No. Groq's free tier requires only an email address — no credit card needed. You get immediate access to every model with base rate limits. The Developer tier (which requires a credit card but no minimum spend) unlocks 10x rate limits and 25% cheaper tokens.
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*Author: TokenMix Research Lab | Last Updated: April 2026 | Data Source: [Groq Official Pricing](https://groq.com/pricing), [TokenMix.ai](https://tokenmix.ai), and [Artificial Analysis](https://artificialanalysis.ai)*