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Novita AI vs RunInfra
RunInfra offers a tiny model library, cheap coding plans and an agent that builds deployments. Novita offers 200+ models and a full GPU cloud.
By The Subconscious Team · Updated
Novita AI vs RunInfra: key differences
RunInfra and Novita both let small teams run open models without much ML ops. RunInfra does it with automation. Its agent takes a plain-English request, benchmarks GPUs from L4 to B200, searches quantized variants such as AWQ, GPTQ and FP8, applies Forge kernels and ships an endpoint that scales to zero with cold starts under two seconds. Novita does it with breadth: 200+ ready models, dedicated endpoints for any Hugging Face model and a GPU cloud from RTX 3090s to H200s. RunInfra's hosted library is small and mid-size, including Nemotron 3.5 Lightning 30B and Qwen 3.8 27B.
Coding plans are RunInfra's hook, starting at $10 a month with limits that reset every five hours and weekly, across Claude Code, Codex, Cline and Aider. Novita bills per token, with batch at 50% off. RunInfra also chains models into pipelines, such as Whisper into an LLM into a TTS voice, and accepts uploads up to 50 GB. It is a 2026 company with little track record. Novita has operated since late 2023 with a far wider catalog, though its support runs through Discord.
What Novita AI and RunInfra do
Novita AI
Novita AI is a San Francisco inference cloud founded in late 2023 by Frank Lewis and Junyu Huang, and it competes on price and breadth. Its serverless API covers 200+ open models across LLMs, image, video, speech, voice cloning and embeddings, with LLM prices starting at $0.02 per million tokens. The API speaks both OpenAI and Anthropic formats. It became an official Hugging Face Inference Partner in April 2026 and was the day-zero launch partner for Google's Gemma 4.
Example models: DeepSeek V4 Pro, Gemma 4
Full Novita AI profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.
Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Full RunInfra profileShould you choose Novita AI or RunInfra?
Novita AI vs RunInfra at a glance
| Attribute | Novita AI | RunInfra |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | DeepSeek V4 Pro, Gemma 4 | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | ~36 tok/s on DeepSeek V4 Pro | Cold starts under 2s |
| Price | From $0.02 per 1M; batch 50% off | Coding plans from $10 a month |
| Customization | Hot-swappable LoRA adapters | Uploads up to 50 GB; auto-quantization |
| Deployment | Serverless, GPU cloud, dedicated | Model APIs, agent-built endpoints |
| Long context | Full 1M on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between Novita AI and RunInfra?
RunInfra offers a tiny model library, cheap coding plans and an agent that builds deployments. Novita offers 200+ models and a full GPU cloud.
When should I choose Novita AI over RunInfra?
Picking from 200+ ready models; Budget GPU instances with spot pricing; Image and video generation on the same bill.
When should I choose RunInfra over Novita AI?
Flat-rate open models in Claude Code or Codex; Automatic GPU and quantization selection; Chained voice pipelines without ML ops staff.
Is Novita AI or RunInfra cheaper?
Novita AI: From $0.02 per 1M; batch 50% off. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, Novita AI or RunInfra?
Novita AI: Full 1M on DeepSeek V4 Pro. RunInfra: Varies by model.
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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.