Together AI has built a strong reputation for offering a wide range of open-source models through a developer-friendly API. Plugsky is the alternative for teams that want strong model selection PLUS flat pricing, sovereign deployment, and enterprise-grade controls — all through a single API.
What Together AI does well
- Broad model selection — 200+ open-source models including niche and community variants
- Competitive per-token pricing — $0.10–1.20/MTok depending on model size
- Hosted fine-tuning — fine-tune open-source models on your data
- GPU reservations — dedicated compute for latency-sensitive workloads
- Developer-friendly — clean API docs, Python/TS SDKs, quick onboarding
What Plugsky adds
- Flat monthly pricing — from $20/mo unlimited, no per-token surprises or bill shock
- Sovereign deployment — air-gapped, on-prem, customer-managed keys
- Regional data residency — EU, GCC, APAC, and US regions
- Enterprise controls — SAML, SCIM, audit log, dedicated CSM
- Curated model selection — 30+ production-tested models, not 200+ (better reliability)
- RAG + agents built-in — no external tool integration needed
Feature comparison
| Capability | Plugsky | Together AI |
|---|---|---|
| Model selection | 30+ curated, production-tested | 200+ (incl. community) |
| OpenAI-compatible API | ✓ | ✓ |
| Flat pricing (self-serve) | ✓ (from $20/mo) | ✗ (per-token) |
| Sovereign / air-gapped | ✓ | ✗ |
| Data residency | ✓ (EU, GCC, APAC, US) | ✗ (US-only) |
| Hosted fine-tuning | ✗ (planned) | ✓ |
| Enterprise SSO (SAML/SCIM) | ✓ | ✗ |
| GPU reservations | ✓ (enterprise) | ✓ |
When to choose each
Choose Together AI when you need maximum model selection (200+), hosted fine-tuning, or prefer per-token billing.
Choose Plugsky when you want a curated, production-ready model set, flat predictable pricing, sovereign deployment, or enterprise controls out of the box.
Migration effort
Migrating from Together AI to Plugsky is straightforward — both use the OpenAI-compatible format:
// Before — Together AI const together = new OpenAI({ baseURL: 'https://api.together.xyz/v1', apiKey: 'sk-...' }); // After — Plugsky const openai = new OpenAI({ baseURL: 'https://api.plugsky.com/v1', apiKey: 'sk-live-...' }); // Check model availability — most popular models are available const models = await openai.models.list(); console.log(models.data.map(m => m.id));
Pricing comparison
| Plan | Together AI | Plugsky |
|---|---|---|
| Per-token (mid-range) | $0.10–0.60/MTok | $0 (flat tiers) |
| 50 MTok/month | $5–30 | $20 flat |
| 500 MTok/month | $50–300 | $99–299 flat |
| 2,000 MTok/month | $200–1200 | $299–custom flat |
Break-even: At ~200 MTok/month of mid-range models, Plugsky's $20 tier pays for itself. At high volume, savings are significant.
Limitations
- Together has far more models — 200+ vs Plugsky's 30+. If you need an obscure community model, Together likely has it.
- Together offers hosted fine-tuning — Plugsky doesn't support this yet (planned)
- Together's GPU reservations are available to more tiers; Plugsky reserves GPU for enterprise plans
Frequently asked questions
Does Plugsky have as many models as Together AI?
Together AI has 200+ models. Plugsky has 30+ curated, production-tested models. If you need maximum selection, Together wins. If you want curated quality with enterprise support, choose Plugsky.
Is Plugsky cheaper than Together AI?
Together charges $0.10–1.20/MTok depending on model. Plugsky starts at $20/mo flat. At 200+ MTok/month of mid-range models, Plugsky is cheaper.
Can I use the same models on both platforms?
Significant overlap — both offer Llama, Mistral, Qwen, DeepSeek, and Gemma. Together has more niche/community models. Plugsky focuses on production-ready curated models.
Does Plugsky support fine-tuning?
Together AI offers hosted fine-tuning. Plugsky currently focuses on inference. For fine-tuning, Together is the better choice today. Fine-tuning is on our roadmap.
Can I migrate from Together AI with minimal code changes?
Yes — both use OpenAI-compatible APIs. Change your base URL and API key. Some model IDs differ, check our model reference for equivalents.
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