GPT-4o Mini vs Llama 3.3 70B (Groq/Together)
Compare GPT-4o Mini 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 Mini charges $0.15/1M input and $0.60/1M output tokens, compared to Llama 3.3 70B (Groq/Together) at $0.59/1M input and $0.79/1M output. GPT-4o Mini is 3.9x cheaper on input tokens. In benchmark reasoning, Llama 3.3 70B (Groq/Together) holds the higher intelligence rating (88/100). For latency-critical streaming, GPT-4o Mini delivers 145 t/s (240ms TTFT) while Llama 3.3 70B (Groq/Together) provides 310 t/s (140ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o Mini | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | OpenAI | Meta | - |
| Input Token Cost (1M) | $0.150 | $0.590 | GPT-4o Mini |
| Output Token Cost (1M) | $0.600 | $0.790 | GPT-4o Mini |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 82/100 | 88/100 | Llama 3.3 70B (Groq/Together) |
| Streaming Latency | Ultra-Fast | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o Mini is $0.15/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: GPT-4o Mini is $0.60/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: GPT-4o Mini supports 128k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: GPT-4o Mini scores 82/100 vs Llama 3.3 70B (Groq/Together) at 88/100
- Inference Latency: GPT-4o Mini is rated Ultra-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 GPT-4o Mini over Llama 3.3 70B (Groq/Together) saves $8.03/mo ($96/yr) at this volume.
Frequently Asked Questions
Is GPT-4o Mini cheaper than Llama 3.3 70B (Groq/Together)?
GPT-4o Mini is significantly more economical, charging $0.15/1M input compared to $0.59/1M for Llama 3.3 70B (Groq/Together).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o Mini. If you require peak reasoning accuracy and complex tool use, Llama 3.3 70B (Groq/Together) is recommended.
How does context window compare between GPT-4o Mini and Llama 3.3 70B (Groq/Together)?
GPT-4o Mini offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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