Llama API providers compared — Plugsky vs Groq vs Together vs Fireworks vs self-hosted

Llama — Meta's open-weight model family — powers a huge share of production AI workloads. From Llama 3.2 (3B, 8B, 90B) to Llama 4 (Scout, Maverick), developers have more choices than ever. But where you run Llama matters for latency, cost, data control, and feature access. This guide compares the major Llama API providers and explains when Plugsky is the best choice.

Llama provider options

There are five main ways to access Llama models today:

• Plugsky — unified API with 30+ models including Llama 3, Llama 4, flat monthly pricing, and sovereign deployment
• Groq — LPU hardware delivers ultra-low latency for Llama, per-token pricing, US-only data centers
• Together AI — 200+ models with many fine-tuned Llama variants, per-token pricing, cloud-only
• Fireworks AI — sub-100ms latency on popular models, per-token pricing, fine-tuning available
• Replicate — pay-per-second GPU time, community models, good for experimentation
• Self-hosted — run Llama on your own GPUs, maximum control, requires infrastructure expertise

Feature comparison

Capability	Plugsky	Groq	Together AI	Fireworks AI	Replicate
Llama 4 support	✓	✓	✓	✓	✓
Llama 3.1/3.2 support	✓	✓	✓	✓	✓
Fine-tuned variants	Core models only	Limited	200+ variants	Many variants	Community models
OpenAI-compatible API	✓	✓	✓	✓	Custom format
Flat pricing	✓ (from $20/mo)	✗ (per-token)	✗ (per-token)	✗ (per-token)	✗ (per-second)
Data residency choice	✓ (EU, GCC, APAC, US)	US only	US only	US only	US only
Sovereign deployment	✓ (air-gapped, on-prem)	✗	✗	✗	✗
Enterprise SSO (SAML)	✓	✗	✗	✓ (Enterprise)	✗
Fine-tuning available	✗ (inference only)	✗	✓	✓	✓

Comparison updated Jul 2026. Features subject to change.

Pricing comparison

Scenario	Plugsky	Groq	Together AI	Fireworks AI	Self-hosted (1× A100)
1 MTok/month	$20 flat	~$0.30	~$0.20	~$0.20	$800+/mo
100 MTok/month	$20 flat	~$30	~$20	~$20	$800+/mo
1,000 MTok/month	$99–299 flat	~$300	~$200	~$200	$800+/mo

Note: Self-hosted pricing assumes leased A100 GPU at ~$1-2/hr. The break-even point for self-hosting vs Plugsky's $20 flat tier is roughly 500+ MTok/month, before factoring in ops overhead.

Latency benchmark

Latency varies by model size and provider hardware. These are approximate p50 figures for Llama 3.1 8B:

Provider	Hardware	Llama 3.1 8B (p50)	Llama 3.1 70B (p50)
Groq	LPU	<100ms	~200ms
Fireworks AI	NVIDIA GPU	~100ms	~400ms
Together AI	NVIDIA GPU	~150ms	~500ms
Plugsky	NVIDIA NIM	~150ms	~600ms
Self-hosted (1× A100)	A100 80GB	~200ms	~800ms

Benchmarks are approximate and vary by concurrent load, input/output token count, and specific model quantization. Measured Jul 2026.

Why Plugsky for Llama

Plugsky is the best choice for Llama workloads when you value predictable costs, deployment flexibility, and multi-model access over raw speed:

• Flat pricing eats variable costs — At 500+ MTok/month, Plugsky saves you 50-80% vs per-token providers. No surprise bills from traffic spikes.
• Llama + 29 other models — Use Llama for one task, Qwen for another, DeepSeek for reasoning — all through one API and one bill.
• Deploy in your region — EU, GCC, APAC, and US regions. If your compliance requires data to stay in Saudi Arabia or Germany, Groq and Together can't help.
• Sovereign deployment — Air-gapped, customer-managed keys. Get self-hosted-level control without the ops burden.
• Enterprise out of the box — SAML/SCIM, audit logs, dedicated CSM. No enterprise add-ons or custom contracts.

When not to choose Plugsky: If your top priority is sub-100ms latency for a single Llama model, Groq or Fireworks will be faster. If you need niche fine-tuned Llama variants, Together or Replicate have wider selections.

Migration effort

Moving any Llama workload to Plugsky is straightforward — all major providers use the OpenAI-compatible format:

// Before — any OpenAI-compatible provider
const openai = new OpenAI({
  baseURL: 'https://api.groq.com/openai/v1',  // or together, fireworks, etc.
  apiKey: 'gsk-...'
});

// After — Plugsky
const openai = new OpenAI({
  baseURL: 'https://api.plugsky.com/v1',
  apiKey: 'sk-live-...'
});

// Llama + 30+ models, one API
const chat = await openai.chat.completions.create({
  model: 'llama-3.2-8b',  // or plugsky-lite for default
  messages: [{ role: 'user', content: 'Hello' }]
});

Frequently asked questions

Which provider has the fastest Llama inference?

Groq's LPU hardware delivers the lowest latency for Llama models (often <100ms). Fireworks and Together are close at ~100-200ms. Plugsky averages ~150-300ms. For absolute lowest latency, choose Groq. For everything else, Plugsky offers the best value.

Which Llama API provider is cheapest?

Plugsky's flat monthly pricing ($20-$500/mo) is cheapest for moderate to high usage. For low-volume users, Together and Fireworks at $0.10-0.90/MTok are cheaper. Groq's $0.30-0.60/MTok is mid-range. Self-hosting only makes financial sense at very high volume (500+ MTok/month).

Does Plugsky support Llama 4?

Yes — Plugsky supports Llama 4 Maverick (17B MoE) and Llama 4 Scout (17B) alongside Llama 3.1 (8B, 70B) and Llama 3.2 (3B, 8B), all through a single API.

Can I self-host Llama instead of using an API?

Yes — Llama models are open-weight and can be self-hosted on your own infrastructure. This avoids per-token costs but requires GPU hardware, operational expertise, and ongoing maintenance. Plugsky offers sovereign deployment as a middle ground — you get deployment control without managing infrastructure.

Which provider has the most Llama model variants?

Together AI has the widest selection with 200+ models including many fine-tuned Llama variants. Fireworks and Replicate also offer fine-tuned variants. Plugsky focuses on the core production-ready Llama versions (8B, 70B, Scout, Maverick) prioritising reliability over breadth.