GPT-4o (Omni) vs Llama 3.3 70B (Groq/Together)
Compare GPT-4o (Omni) vs Llama 3.3 70B (Groq/Together) API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o (Omni) charges $2.50/1M input and $10.00/1M output tokens, compared to Llama 3.3 70B (Groq/Together) at $0.59/1M input and $0.79/1M output. Llama 3.3 70B (Groq/Together) is 4.2x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, GPT-4o (Omni) delivers 90 t/s (420ms TTFT) while Llama 3.3 70B (Groq/Together) provides 310 t/s (140ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | OpenAI | Meta | - |
| Input Token Cost (1M) | $2.500 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $10.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 92/100 | 88/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs Llama 3.3 70B (Groq/Together) at 88/100
- Inference Latency: GPT-4o (Omni) is rated Fast vs Llama 3.3 70B (Groq/Together) rated Ultra-Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying Llama 3.3 70B (Groq/Together) over GPT-4o (Omni) saves $97.72/mo ($1173/yr) at this volume.
Frequently Asked Questions
Is GPT-4o (Omni) cheaper than Llama 3.3 70B (Groq/Together)?
Llama 3.3 70B (Groq/Together) is significantly more economical, charging $0.59/1M input compared to $2.50/1M for GPT-4o (Omni).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Llama 3.3 70B (Groq/Together). If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between GPT-4o (Omni) and Llama 3.3 70B (Groq/Together)?
GPT-4o (Omni) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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