o1 (Reasoning) vs Llama 3.3 70B (Groq/Together)
Compare o1 (Reasoning) 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.
o1 (Reasoning) charges $15.00/1M input and $60.00/1M 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 25.4x cheaper on input tokens. In benchmark reasoning, o1 (Reasoning) holds the higher intelligence rating (98/100). For latency-critical streaming, o1 (Reasoning) delivers 45 t/s (1200ms TTFT) while Llama 3.3 70B (Groq/Together) provides 310 t/s (140ms TTFT).
Full Metric & Specification Comparison
| Metric | o1 (Reasoning) | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | OpenAI | Meta | - |
| Input Token Cost (1M) | $15.000 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $60.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 200k tokens | 128k tokens | o1 (Reasoning) |
| Intelligence Benchmark Score | 98/100 | 88/100 | o1 (Reasoning) |
| Streaming Latency | Deliberate | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: o1 (Reasoning) is $15.00/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: o1 (Reasoning) is $60.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: o1 (Reasoning) supports 200k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: o1 (Reasoning) scores 98/100 vs Llama 3.3 70B (Groq/Together) at 88/100
- Inference Latency: o1 (Reasoning) is rated Deliberate 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 o1 (Reasoning) saves $660.23/mo ($7923/yr) at this volume.
Frequently Asked Questions
Is o1 (Reasoning) 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 $15.00/1M for o1 (Reasoning).
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, o1 (Reasoning) is recommended.
How does context window compare between o1 (Reasoning) and Llama 3.3 70B (Groq/Together)?
o1 (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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