Top AI API Platforms to Register | Generated by AI
Question: Which other AI/LLM API platforms (similar to Together.ai, OpenRouter, Jina AI) are worth registering for?
Answer:
Here’s a curated list beyond the three you have, grouped by what they’re actually good for. Skip the ones that overlap with what you already run.
Inference aggregators / multi-model gateways (OpenRouter-class)
- Fireworks.ai — fast serverless inference, strong on open models + function calling, FireAttention kernels. Good Together alternative.
- DeepInfra — cheap per-token open-model hosting, often undercuts Together/Fireworks.
- Novita.ai — cheap inference + GPU rental, decent for batch.
- Hyperbolic — cheap open-weight inference + on-demand GPUs (H100/MI300X spot), aligns with your training work.
- Groq — LPU inference, absurd tokens/sec for Llama/Qwen/Kimi. Worth it just for latency experiments.
- Cerebras — wafer-scale inference, even faster than Groq on some models. Free tier exists.
Frontier labs (direct, for eval/agent work)
- DeepSeek (platform.deepseek.com) — you’re already DeepSeek-heavy; the direct API is cheaper than reselling and gets v4 first.
- Moonshot / Kimi (platform.moonshot.cn) — Kimi K2 is a strong agentic/coding model, cheap.
- Z.ai / Zhipu GLM — GLM-4.6 is a serious coding model, OpenRouter-priced but direct is cheaper.
- Mistral (la Plateforme) — for Codestral, embeddings, and EU-hosted needs.
- xAI (Grok API) — if you want Grok in your agent rotation.
GPU rental (training, MI300X/4070 overflow)
- RunPod — serverless + pods, community cloud is cheap. Best Together-tier GPU rental.
- Vast.ai — spot-market GPUs, cheapest H100/4090 if you tolerate variance.
- Lambda — clean H100/B200 on-demand, good for multi-GPU training runs.
- Modal — serverless Python, great for your CLI-agent/training-script style (decorate a function, run on H100).
- Prime Intellect — aggregated GPU marketplace, decentralized training focus, fits your nanoGPT/MoE interests.
Embeddings / retrieval / reranking (Jina-class)
- Voyage AI (now Anthropic-owned) — best-in-class retrieval embeddings + rerankers.
- Cohere — Embed v3 + Rerank, strong for RAG eval.
- Nomic — open embeddings + Atlas for dataset viz, fits your dataset-engineering work.
Tooling-adjacent (worth an account)
- Replicate — run/fine-tune any open model via API, good for one-off experiments.
- Baseten — Truss-based model deployment, if you want to serve your own GPT-2/finetune.
- Fal.ai — fast media/diffusion inference if you ever touch image/audio.
If I had to pick the highest-leverage five for your trajectory: Groq (latency), DeepInfra or Hyperbolic (cheap tokens), RunPod + Modal (training/serving), Voyage (embeddings). The rest are situational.
Want me to write a small Python script that benchmarks the same prompt across OpenRouter + Together + Groq + DeepInfra (tokens/sec, TTFT, cost/1M) so you can rank them empirically rather than from a list?