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Groq vs RunInfra
RunInfra offers cheap coding plans and an agent that builds custom deployments. Groq offers fast inference on a fixed short list. Flexibility against speed.
By The Subconscious Team · Updated
Groq vs RunInfra: key differences
RunInfra has two products. Its Model APIs serve a small library, including Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, behind one key that works with the OpenAI and Anthropic SDKs, and coding plans start at $10 a month. Its deployment agent takes a plain-English request, benchmarks GPUs from L4 to B200, searches quantized variants and ships an endpoint with cold starts under two seconds. Groq offers neither a coding plan nor custom deployments. It serves GPT-OSS and Qwen 3.6 on the LPU at several times the tokens per second of GPU hosts.
Customization is RunInfra's edge. Paid plans accept uploads up to 50 GB in SafeTensors, GGUF or ONNX, and pipelines can chain Whisper into an LLM into a TTS voice. Groq hosts no fine-tunes, though it does host Whisper. RunInfra is a 2026 company with little independent benchmarking, and its library sits far from frontier quality. Groq publishes its speeds per model. A small team building a custom voice pipeline might pick RunInfra; one that only needs fast GPT-OSS should pick Groq.
What Groq and RunInfra do
Groq
Groq serves open models on its own chip, the LPU, which keeps model weights in on-chip SRAM and runs a deterministic schedule instead of waiting on GPU memory. Groq publishes 1,000 tokens per second on GPT-OSS 20B and 500 on GPT-OSS 120B. Latency stays tight between median and tail, which matters for strict SLAs. The API is OpenAI-compatible and also hosts Whisper for speech to text plus an agentic system called Groq Compound with built-in search and code execution.
Example models: GPT-OSS 120B, Qwen 3.6 27B
Full Groq 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 Groq or RunInfra?
Groq vs RunInfra at a glance
| Attribute | Groq | RunInfra |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | GPT-OSS 120B, Qwen 3.6 27B | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | 500–1,000 tok/s | Cold starts under 2s |
| Price | Near the floor on small models | Coding plans from $10 a month |
| Customization | No fine-tuned model hosting | Uploads up to 50 GB; auto-quantization |
| Deployment | GroqCloud API | Model APIs, agent-built endpoints |
| Long context | Around 131K max | Varies by model |
Frequently asked questions
What is the difference between Groq and RunInfra?
RunInfra offers cheap coding plans and an agent that builds custom deployments. Groq offers fast inference on a fixed short list. Flexibility against speed.
When should I choose Groq over RunInfra?
Published high speed on GPT-OSS and Qwen 3.6; Voice apps where latency is the product; Per-token pricing near the market floor.
When should I choose RunInfra over Groq?
Cheap flat-rate models in agent CLIs; Deploying custom uploads without ML ops staff; Chained speech, LLM and TTS pipelines.
Is Groq or RunInfra cheaper?
Groq: Near the floor on small models. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, Groq or RunInfra?
Groq: Around 131K max. 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.