Made with these models
The 3 models this integration runs.
openai/gpt-oss-120b on groq
openai/gpt-oss-120btext-to-text
openai/gpt-oss-20b on groq
openai/gpt-oss-20btext-to-text
qwen-3.6-27b on groq
qwen-3.6-27btext-to-text
openai/gpt-oss-120b on groq
openai/gpt-oss-120btext-to-text
openai/gpt-oss-20b on groq
openai/gpt-oss-20btext-to-text
qwen-3.6-27b on groq
qwen-3.6-27btext-to-text
openai/gpt-oss-120b on groq
openai/gpt-oss-120btext-to-text
openai/gpt-oss-20b on groq
openai/gpt-oss-20btext-to-text
qwen-3.6-27b on groq
qwen-3.6-27btext-to-text
The fastest tokens per second you can buy — open models on Groq's LPU hardware.
- Fastest inference on the marketplace (LPU, not GPU)
- Llama 3.1 8B, Llama 3.3 70B, GPT-OSS 20B/120B, Qwen 3.6
- From $0.05 per million input tokens
- Charged on Groq-reported token usage, not estimates
- Bring your own key, or run on the platform key
Groq runs open-weight models on custom LPU hardware instead of GPUs, and the difference is latency: responses come back several times faster than the same model served conventionally.
That matters most where an LLM sits in the middle of a pipeline rather than at the end. A Groq-backed LLM Worker planning prompts for an image model, routing a Conditional Switch, or extracting JSON adds almost nothing to total pipeline time.
Llama 3.1 8B Instant is the cheapest model on the marketplace at $0.05/$0.08 per million tokens; Llama 3.3 70B and GPT-OSS 120B are there when you need more. Charged on the tokens Groq reports.
llmfastlow-latencyllamaqwengpt-ossgroqopen-weights