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DeepInfra vs RunInfra
RunInfra offers a tiny hosted library, cheap coding plans and an agent that builds tuned deployments. DeepInfra offers 150+ hosted models at per-token floor prices.
By The Subconscious Team · Updated
DeepInfra vs RunInfra: key differences
Quantization sits at the heart of both, used in different ways. DeepInfra quantizes heavily by default to reach its low prices, which can cut quality and context, so teams check precision per model. RunInfra makes quantization a search. Describe an endpoint in plain English and its agent picks a model, benchmarks it across GPUs from L4 to B200, tries variants like AWQ, GPTQ and FP8, applies its own Forge kernels, and ships the cheapest config that meets the latency target. The result is an OpenAI-compatible endpoint that scales to zero with cold starts under two seconds, or runs always-on.
On hosted models the gap is large. RunInfra's library is tiny and centered on mid-size models like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, while DeepInfra carries 150+. RunInfra instead sells coding plans from $10 a month that work with Claude Code, Codex, OpenCode and Aider, accepts custom uploads up to 50 GB on paid plans, and chains models into voice pipelines. It is young, with little independent benchmarking. DeepInfra fits bulk work across many stock models. RunInfra fits a small team shipping a tuned custom endpoint or a cheap coding setup.
What DeepInfra and RunInfra do
DeepInfra
DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.
Example models: DeepSeek V4 Flash, Llama 3.1 8B
Full DeepInfra 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 DeepInfra or RunInfra?
DeepInfra
Choose DeepInfra for
- Broad choice across 150+ hosted open models
- Metered bulk jobs with no plan or setup
- Stock models where default settings are good enough
RunInfra
Choose RunInfra for
- Small teams deploying a tuned model without ML ops staff
- Flat-rate coding plans for Claude Code or Codex
- Voice pipelines chaining speech, LLM and TTS
DeepInfra vs RunInfra at a glance
| Attribute | DeepInfra | RunInfra |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | ~33 tok/s on DeepSeek V4 Pro (FP4) | Cold starts under 2s |
| Price | From $0.02 per 1M | Coding plans from $10 a month |
| Customization | No managed fine-tuning | Uploads up to 50 GB; auto-quantization |
| Deployment | Shared API, no contracts | Model APIs, agent-built endpoints |
| Long context | 66K on FP4 DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between DeepInfra and RunInfra?
RunInfra offers a tiny hosted library, cheap coding plans and an agent that builds tuned deployments. DeepInfra offers 150+ hosted models at per-token floor prices.
When should I choose DeepInfra over RunInfra?
Broad choice across 150+ hosted open models; Metered bulk jobs with no plan or setup; Stock models where default settings are good enough.
When should I choose RunInfra over DeepInfra?
Small teams deploying a tuned model without ML ops staff; Flat-rate coding plans for Claude Code or Codex; Voice pipelines chaining speech, LLM and TTS.
Is DeepInfra or RunInfra cheaper?
DeepInfra: From $0.02 per 1M. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, DeepInfra or RunInfra?
DeepInfra: 66K on FP4 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.