Llama 3.3 70B (Groq LPU) is 85% cheaper than GPT-4o (Omni) on blended 3:1 token pricing. Llama 3.3 70B (Groq LPU) costs $0.59/1M in and $0.79/1M out, while GPT-4o (Omni) costs $2.50/1M in and $10.00/1M out.
Llama 3.3 70B (Groq LPU) vs GPT-4o (Omni)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Groq (Meta) and OpenAI.
| Metric / Feature | Llama 3.3 70B (Groq LPU) (Groq (Meta)) | GPT-4o (Omni) (OpenAI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.59 | $2.50 |
| Output Price ($ / 1M Tokens) | $0.79 | $10.00 |
| Prompt Caching Input Rate | Not Available | $1.250/1M |
| Blended 3:1 Rate (Production) | $0.640 / 1M | $4.375 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ❌ Text Only | ✅ Supported |
| MMLU Benchmark | 86.0% | 88.7% |
| Throughput & Latency | Instant (~280 t/s) | Fast (~45 t/s) |
| Best For | Instantaneous interactive chatbots, real-time voice translation, low-latency tool agents | Complex enterprise workflows, high-precision coding, multi-modal analysis |
When to Choose Llama 3.3 70B (Groq LPU)
Choose Llama 3.3 70B (Groq LPU) if your workload requires instantaneous interactive chatbots, real-time voice translation, low-latency tool agents. Ideal for teams needing Groq (Meta)'s infrastructure and ecosystem tooling.
When to Choose GPT-4o (Omni)
Choose GPT-4o (Omni) if your primary objective is complex enterprise workflows, high-precision coding, multi-modal analysis. Ideal for scaling high-throughput pipelines with OpenAI.