4 best Groq alternatives in 2026
LPU-based inference at hundreds of tokens per second. If you're considering switching from Groq, these are the strongest options we track, free and paid, hosted and open-source.
Updated
Try Groq (the original)Why look for Groq alternatives?
Groq runs open-weight models on its custom LPU hardware, achieving 500, 1000+ tokens/sec on supported models. The speed regime is genuinely different from GPU-based providers, interactive UX shifts qualitatively at this throughput.
Common reasons people switch:
- Limited model catalogue
- No fine-tuning
Quick picks
The full ranking
Fireworks AI hosts open-weight models with a particular focus on inference speed and competitive pricing. Strong picks for production deployments needing predictable latency on Llama, DeepSeek, Qwen, and other open models.
Pros
- Fast inference
- Competitive pricing
Cons
- Smaller catalogue than Together / OpenRouter
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | Per-token | Fast inference |
| Enterprise | Contact sales | Dedicated capacity |
Together AI is a leading hosting provider for open-weight models, offering both inference APIs (OpenAI-compatible) and fine-tuning. Supports Llama, Qwen, DeepSeek, FLUX, and many more at competitive per-token rates.
Pros
- Wide model catalogue
- Competitive pricing
- Strong fine-tuning
Cons
- Smaller community than HF Inference
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | Per-token by model | Inference API · Fine-tuning available |
| Dedicated | Contact sales | Reserved GPUs |
OpenRouter is a routing layer for LLM APIs, exposing hundreds of models from every major lab and open-weight provider behind a single OpenAI-compatible interface. Useful for building model-agnostic applications or for switching providers without rewiring.
Pros
- One API for everything
- Easy provider switching
- Cheap
Cons
- Markup on top of underlying provider
- Some flagship features missing
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | Pass-through plus small markup | No subscription · All models |
Anyscale is the company behind Ray and offers managed AI infrastructure on top of it. Particularly strong for complex distributed training and serving workloads where Ray's orchestration shines.
Pros
- Sophisticated orchestration
- Strong for distributed jobs
Cons
- Steeper learning curve
- Less direct alternative to Together for simple inference
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | GPU rental + platform | Hosted Ray · Endpoints |
| Enterprise | Contact sales | VPC deployments |
Frequently asked
What is the best free alternative to Groq?
Most Groq alternatives offer at least a limited free tier. Browse the table below for which alternatives have free plans.Is there an open-source alternative to Groq?
Several alternatives below offer self-hosting or open-source options, review each tool's pricing tier.Which Groq alternative is cheapest?
Pricing varies by usage. Most alternatives below ship with a free tier suitable for evaluation. For high-volume production usage, compare each tool's per-seat or per-token pricing on its profile page.Why are people switching from Groq?
The most cited reasons in our research: Limited model catalogue; No fine-tuning.What does LLMDex think of Groq?
LPU-based inference at hundreds of tokens per second. Groq runs open-weight models on its custom LPU hardware, achieving 500, 1000+ tokens/sec on supported models. The speed regime is genuinely different from GPU-based providers, interactive UX shifts qualitatively at this throughput.
More other tools and alternatives
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