5 best Together AI alternatives in 2026
Inference and training for open-weight models at scale. If you're considering switching from Together AI, these are the strongest options we track, free and paid, hosted and open-source.
Why look for Together AI alternatives?
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.
Common reasons people switch:
- Smaller community than HF Inference
Quick picks
The full ranking
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 |
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 |
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 |
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.
Pros
- Unmatched speed
- Competitive pricing
Cons
- Limited model catalogue
- No fine-tuning
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | Per-token | LPU-based inference |
Replicate is the marketplace API for running open-source AI models, with thousands of community-published models available behind a simple HTTP API. It's the easiest way to try new image, video, voice, or text models without managing GPU infrastructure.
Pros
- Massive catalogue
- Simple API
- Per-second pricing
Cons
- Cold-start latency
- Pricing varies wildly by model
Pricing
| Plan | Price | What's included |
|---|---|---|
| Pay-per-use | Per-second GPU pricing | No subscription · Auto-scaling |
Frequently asked
What is the best free alternative to Together AI?
Most Together AI 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 Together AI?
Several alternatives below offer self-hosting or open-source options, review each tool's pricing tier.Which Together AI 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 Together AI?
The most cited reasons in our research: Smaller community than HF Inference.What does LLMDex think of Together AI?
Inference and training for open-weight models at scale. 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.
More other tools and alternatives
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