Hosted Llama/Mixtral/Gemma on LPU is a Hosted open from Groq (United States).
One-line fit: best used for Realtime apps needing speed.
Key specifications
| Provider | Groq |
|---|---|
| Model | Hosted Llama/Mixtral/Gemma on LPU |
| Type | Hosted open |
| Context window | Per model |
| Pricing (indicative) | Speed-tier API |
| Company category | Inference |
| Region | United States |
| Official site | https://groq.com |
Benchmarks and public standing
Industry-leading TPS demos
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Realtime apps needing speed
This aligns with Groq’s broader strengths:
- Ultra-low latency inference
- Open model hosting speed
- Developer TPS demos
Limitations and watch-outs
Does not train frontier closed models
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Realtime apps needing speed
- Teams standardizing on the Groq ecosystem
- Agent builders who need a Hosted open
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Groq – LPU inference hardware and hosted open models at extreme tokens/sec.
Related models from Groq
Data is curated for AIForumSphere model directory mid-2026 directional figures.
