Quick Verdict
| Need | Better first pick | Why |
|---|---|---|
| Lowest-latency cheap text | Groq | Fast open-model inference at very low token prices |
| Broad mature API | OpenAI | Deeper tooling, multimodal support, and enterprise familiarity |
| Simple routing | Groq Llama or GPT OSS | Cheap enough for high-volume utility calls |
| Premium reasoning | OpenAI GPT-5.6 Sol | Higher cost, but stronger ceiling for hard tasks |
| Realtime UX | Groq | Speed can matter as much as token price |
Use the chart and calculator above to compare the exact monthly bill for your traffic. If you are shortlisting Groq models first, pair this with the Groq API pricing guide.
Pricing Table
| Provider | Model | Input | Cached input | Output | Best fit |
|---|---|---|---|---|---|
| Groq | Llama 3.1 8B Instant | $0.05 | n/a | $0.08 | Ultra-cheap routing and realtime UX |
| Groq | GPT OSS 20B | $0.075 | $0.0375 | $0.30 | Cheap general text with cache support |
| Groq | GPT OSS 120B | $0.15 | $0.075 | $0.60 | Larger open model at low cost |
| Groq | Llama 3.3 70B Versatile | $0.59 | n/a | $0.79 | Stronger open model route |
| OpenAI | GPT-5.6 Luna | $1.00 | $0.10 | $6.00 | Lower-cost current GPT-5.6 route |
| OpenAI | GPT-5.6 Sol | $5.00 | $0.50 | $30.00 | Premium OpenAI flagship route |
Groq is not a full OpenAI replacement. It is a fast inference layer for open-weight models. That is exactly why it can be useful: many production requests do not need a premium proprietary model.
Where Groq Wins
Groq is strongest for classification, routing, autocomplete, support drafts, interactive coding helpers, voice-agent backends, and other workloads where latency and cost both matter. If a cheap Groq model passes evals, the savings versus GPT-5.6 Sol are dramatic.
Where OpenAI Wins
OpenAI is the safer default when the app needs multimodal inputs, mature tool calling, enterprise comfort, broad SDK support, or the highest quality ceiling. GPT-5.6 Sol is expensive, but it is a cleaner escalation route for hard reasoning, complex agents, and high-risk outputs.
Routing Table
| Workload | First route | Escalation route |
|---|---|---|
| Intent routing | Groq Llama 3.1 8B | GPT-5.6 Luna |
| Realtime support draft | Groq GPT OSS 20B | GPT-5.6 Luna |
| Coding autocomplete | Groq Qwen or GPT OSS | GPT-5.6 Sol |
| Hard agent task | GPT-5.6 Luna | GPT-5.6 Sol |
| Multimodal workflow | OpenAI | OpenAI premium route |
FAQ
Is Groq cheaper than OpenAI?
Usually for open-model text routes, yes. OpenAI’s smallest utility models can compete in some cases, but Groq’s low-end routes are far below GPT-5.6 Sol.
Is Groq faster than OpenAI?
Groq’s main selling point is fast inference. For realtime products, speed can be the deciding factor even when another model has similar token pricing.
Can Groq replace GPT-5.6 Sol?
Only for tasks where an open model passes your evals. Keep a premium escalation route for hard reasoning, risky answers, and complex agent work.
Which Groq model should I test first?
Start with Llama 3.1 8B Instant for cheap utility calls and GPT OSS 20B or 120B for stronger general text.
Bottom Line
Use Groq when low latency and low cost matter more than a proprietary GPT ceiling. Use OpenAI when product breadth, multimodal tooling, enterprise confidence, or premium reasoning is the buying criterion. Most teams should route, not choose one provider for every request.