Best Together AI Alternatives in 2026: 5 Options Compared

Together AI is one of the strongest places to run open models. Its catalog lists 176 models weighted toward open-source LLMs, with per-token serverless, dedicated GPUs, fine-tuning, and a real OpenAI-compatible API^[1][2]. But it is open-model first, and that shapes where teams go looking for Together AI alternatives: there is no free trial and a $5 minimum to start, closed frontier models like GPT-5 and Claude are not on its serverless tier, and dedicated GPU time runs $6.49/hour for an H100^[1].

This guide compares five Together AI alternatives on what moves a decision: model range, pricing model, integration effort, and where each one beats Together. Four are independent platforms. The fifth is reAPI, which we build. Every figure below came from each vendor's own pricing page or docs on May 30, 2026.

TL;DR

• Together AI is the open-LLM and fine-tuning specialist: 176 models, per-token serverless (Llama 3.3 70B at $0.88 per million), OpenAI-compatible, but no free trial and a $5 minimum^[1][2].
• OpenRouter aggregates 400+ models across 60+ providers at pass-through pricing, plus a 5.5% credit-purchase fee, and includes free model variants^[3][4].
• Replicate spans community models and custom Cog deploys, billed per second of hardware^[5].
• RunPod and Hugging Face let you host your own model: raw GPUs from $1.99/hour, or Hub deploys on per-minute instances^[6][7].
• reAPI adds curated frontier closed models and media that Together's serverless does not host, behind one OpenAI-compatible key.

What Together AI does well, and where it leaves gaps

Together is built for teams that run open models seriously and sometimes train their own.

Where it is strong:

• Open-model depth. 176 models across chat, vision, image, audio, and code, tuned for inference^[2].
• Fine-tuning. LoRA, full, and vision-language fine-tuning with hosting for the result^[2].
• OpenAI-compatible. A drop-in endpoint at https://api.together.ai/v1^[2].
• Per-token clarity. Serverless rates like gpt-oss-20B at $0.05 in / $0.20 out, with dedicated H100s at $6.49/hour when you need them^[1].

Where teams hit walls:

• No free trial. Together does not offer a free trial, and access requires a $5 minimum credit purchase^[1].
• Open models only on serverless. Closed frontier models like GPT-5 and Claude are not on the serverless tier, so a multi-vendor app still needs another provider.
• No media generation depth. Image is supported, but Together is not a video-generation platform.
• Dedicated GPUs are pricey. $6.49/hour for an H100 is fine for steady load and expensive for bursty traffic^[1].

How to evaluate a Together AI alternative

Five questions sort the field:

• Open vs. closed. Do you need GPT-5 and Claude alongside open models?
• Free entry. A free balance to test, or a prepaid minimum?
• Train or just infer. Is fine-tuning a requirement?
• Media. Do you need image and video, not just text?
• Host vs. call. A managed API, or your own GPU?

The best Together AI alternatives in 2026

1. OpenRouter: best for breadth across providers

OpenRouter is the widest aggregator: 400+ models across 60+ providers behind one OpenAI-compatible key, including closed frontier models Together's serverless lacks^[3].

• Features: One API for open and closed models, automatic provider routing, free model variants, and bring-your-own-key support^[3][4].
• Pricing: Pass-through provider rates, so you pay the provider's own rate, plus a 5.5% ($0.80 minimum) fee on credit purchases. Rates vary by provider, for example Claude Opus 4.8 at $5 in / $25 out and Llama 3.3 70B from $0.10 in / $0.32 out^[4].
• Performance: Depends on the routed provider; OpenRouter normalizes the schema across them.
• Best for: Teams that want to reach many open and closed models behind one key.
• Vs Together: OpenRouter has far more models and closed frontier access; Together owns its inference and fine-tuning rather than reselling.

2. Replicate: best for custom models and media

Replicate hosts thousands of community models and lets you deploy your own^[5].

• Features: Per-second hardware inference, per-output models, fine-tuning, and Cog packaging for custom models^[5].
• Pricing: Hardware per-second, for example A100 80GB at $5.04/hour, or per-output like FLUX 1.1 Pro at $0.04/image^[5].
• Performance: Flexible, with cost tied to runtime.
• Best for: Teams that need custom models or media beyond Together's catalog.
• Vs Together: Replicate is broader on media and custom deploys; Together is cleaner for open-LLM tokens and fine-tuning.

3. RunPod: best for hosting your own model

RunPod rents GPUs by the second, the cheapest way to self-host an open model^[6].

• Features: GPU pods, serverless workers, 30+ regions, and bring-your-own-container deploys^[6].
• Pricing: Per-second, no egress fees. H100 PCIe from $1.99/hour, A100 80GB from $1.19/hour^[6].
• Performance: Full control over the serving stack.
• Best for: Teams that want the lowest GPU-hour and will run their own inference.
• Vs Together: RunPod is cheaper raw compute; Together gives you a managed endpoint and fine-tuning without ops.

4. Hugging Face Inference Endpoints: best for dedicated deploys

Hugging Face deploys any Hub model onto dedicated, autoscaling instances billed by the minute^[7].

• Features: Dedicated and autoscaling instances with scale-to-zero, plus a serverless route that passes provider cost through directly^[7][8].
• Pricing: CPU from $0.033/hour; GPU runs T4 at $0.50/hour and A100 80GB at $2.50/hour, billed per minute^[7].
• Performance: Solid for steady traffic; scale-to-zero adds a cold start^[7].
• Best for: Hub-centric teams that want dedicated infrastructure.
• Vs Together: Both deploy open models; Hugging Face is tied to the Hub, Together bundles fine-tuning and serverless tokens.

5. reAPI: best for unified frontier models and media

reAPI covers what Together's serverless does not: curated frontier closed models and media, behind one OpenAI-compatible key at 20-50% below official rates.

• Features: Frontier LLMs (GPT-5, Claude Opus 4.8, Gemini) plus curated media models (Veo 3.1, Seedance 2.0, Wan 2.7, Kling, GPT-Image-2, Gemini 3 Pro Image). Chat is OpenAI-compatible; image and video run on REST endpoints under the same key.
• Pricing: Pay-as-you-go credits at 1 credit = $0.001, no subscription, free credits to start, so there is no $5 floor before the first call. Media is flat per-output, for example GPT-Image-2 from $0.0066/image and Seedance 2.0 from $0.0506/video.
• Performance: Same upstream frontier models; the win is unified access plus media.
• Best for: Teams that want closed frontier LLMs and video generation alongside open models.
• Vs Together: reAPI reaches closed frontier models like GPT-5 and Claude plus video generation that Together's serverless does not host, all behind one OpenAI-compatible key, and starts with free credits.

Together AI vs. the top alternatives at a glance

Catalog and pricing figures are from each vendor's official pages as of May 2026; rates change, so confirm before you commit.

What the numbers say about pricing

Together's per-token rates are competitive for open models, so the comparison is less about cents and more about what you can reach and how you start.

• Together is per-token serverless plus dedicated GPUs, but you prepay a $5 minimum and there is no trial^[1].
• OpenRouter passes provider rates through unchanged, then adds a 5.5% ($0.80 minimum) fee when you buy credits, so the headline rate is not the final cost^[4].
• reAPI runs on one pay-as-you-go credit balance with free starting credits and no minimum, which lowers the cost of testing to zero.
• RunPod and Hugging Face bill for compute time, so they win only when you keep a GPU busy^[6][7].

The honest read: Together is excellent for open-model inference and fine-tuning. If you need closed frontier models, media, or a free way to start, an alternative fits better.

Moving from Together AI to reAPI

Both are OpenAI-compatible, so the swap is a base URL and key for text, plus reAPI's REST endpoints for image and video:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.reapi.ai/v1",
    api_key="YOUR_REAPI_KEY",
)

resp = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "Classify this support ticket."}],
)

If fine-tuning open models is core to your stack, keep that on Together and route frontier and media calls through reAPI. The OpenAI-compatible surface on both sides makes a hybrid setup low-effort.

FAQ

Does Together AI have a free trial?

No. Together does not offer a free trial, and access requires a $5 minimum credit purchase^[1]. OpenRouter gives a small free allowance plus free model variants, and reAPI starts new accounts with free credits^[4].

Which Together AI alternative has GPT-5 and Claude?

OpenAI's and Anthropic's closed models are not on Together's serverless tier. OpenRouter and reAPI both carry them behind one key; OpenRouter lists Claude Opus 4.8 at $5 in / $25 out, for example^[4].

Which Together AI alternative is cheapest?

For open LLM tokens, Together and OpenRouter are close, though OpenRouter adds a 5.5% credit fee^[4]. For self-hosting, RunPod is cheapest per GPU-hour^[6]. Match the pricing model to your traffic before comparing rates.

Can I fine-tune models on a Together AI alternative?

Yes. Replicate supports fine-tuning with Cog, and Hugging Face and RunPod let you train and deploy on your own infrastructure^[5][6].

Does any Together AI alternative also do video?

reAPI and Replicate both generate video; reAPI carries curated models like Veo 3.1 and Seedance 2.0 behind the same key as its LLMs^[5]. Together is text and image, not video.

Choosing a Together AI alternative

Together AI is a top choice for open-model inference and fine-tuning, and worth keeping if that is your core. The case for a Together AI alternative is usually reach or entry cost: closed frontier models, video generation, or a free way to start without a $5 floor. OpenRouter wins on provider breadth, Replicate on custom models, RunPod and Hugging Face on self-hosting, and reAPI on unified frontier-plus-media access with free starting credits. The right Together AI alternative is the one that matches the models and pricing model your app actually needs, so pilot two and compare real usage.

Further reading

• reapi.ai/models — frontier LLMs plus image and video, behind one key.
• Claude Opus 4.8 — frontier reasoning on the OpenAI-compatible gateway.
• Best CometAPI alternatives — another unified-gateway comparison.

References

1. Together AI. Pricing — serverless tokens, dedicated GPUs, and minimums. Retrieved May 2026 from together.ai/pricing
2. Together AI. OpenAI compatibility, model catalog, and fine-tuning. Retrieved May 2026 from docs.together.ai/docs/inference/openai-compatibility
3. OpenRouter. Models — provider and modality catalog. Retrieved May 2026 from openrouter.ai/models
4. OpenRouter. Docs FAQ — pass-through pricing, fees, and free models. Retrieved May 2026 from openrouter.ai/docs/faq
5. Replicate. Pricing — hardware and per-output model rates. Retrieved May 2026 from replicate.com/pricing
6. RunPod. Pricing — GPU cloud and serverless rates. Retrieved May 2026 from runpod.io/pricing
7. Hugging Face. Pricing — Inference Endpoints instance rates. Retrieved May 2026 from huggingface.co/pricing
8. Hugging Face. Inference Providers pricing and free credits. Retrieved May 2026 from huggingface.co/docs/inference-providers/pricing