Llama 3.3 70B (Groq/Together) vs Grok 2
Compare Llama 3.3 70B (Groq/Together) vs Grok 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Llama 3.3 70B (Groq/Together) charges $0.59/1M input and $0.79/1M output tokens, compared to Grok 2 at $2.00/1M input and $10.00/1M output. Llama 3.3 70B (Groq/Together) is 3.4x cheaper on input tokens. In benchmark reasoning, Grok 2 holds the higher intelligence rating (91/100). For latency-critical streaming, Llama 3.3 70B (Groq/Together) delivers 310 t/s (140ms TTFT) while Grok 2 provides 75 t/s (440ms TTFT).
Full Metric & Specification Comparison
| Metric | Llama 3.3 70B (Groq/Together) | Grok 2 | Advantage |
|---|---|---|---|
| Provider | Meta | xAI | - |
| Input Token Cost (1M) | $0.590 | $2.000 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $0.790 | $10.000 | Llama 3.3 70B (Groq/Together) |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 88/100 | 91/100 | Grok 2 |
| Streaming Latency | Ultra-Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Llama 3.3 70B (Groq/Together) is $0.59/1M vs Grok 2 at $2.00/1M
- Output Token Cost: Llama 3.3 70B (Groq/Together) is $0.79/1M vs Grok 2 at $10.00/1M
- Context Window: Llama 3.3 70B (Groq/Together) supports 128k tokens vs Grok 2 with 128k tokens
- Benchmark Intelligence Rating: Llama 3.3 70B (Groq/Together) scores 88/100 vs Grok 2 at 91/100
- Inference Latency: Llama 3.3 70B (Groq/Together) is rated Ultra-Fast vs Grok 2 rated 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 Grok 2 saves $90.22/mo ($1083/yr) at this volume.
Frequently Asked Questions
Is Llama 3.3 70B (Groq/Together) cheaper than Grok 2?
Llama 3.3 70B (Groq/Together) is significantly more economical, charging $0.59/1M input compared to $2.00/1M for Grok 2.
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, Grok 2 is recommended.
How does context window compare between Llama 3.3 70B (Groq/Together) and Grok 2?
Llama 3.3 70B (Groq/Together) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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