Llama 3.3 70B (Groq/Together) vs Claude 3.7 Sonnet
Compare Llama 3.3 70B (Groq/Together) vs Claude 3.7 Sonnet 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 Claude 3.7 Sonnet at $3.00/1M input and $15.00/1M output. Llama 3.3 70B (Groq/Together) is 5.1x cheaper on input tokens. In benchmark reasoning, Claude 3.7 Sonnet holds the higher intelligence rating (98/100). For latency-critical streaming, Llama 3.3 70B (Groq/Together) delivers 310 t/s (140ms TTFT) while Claude 3.7 Sonnet provides 85 t/s (480ms TTFT).
Full Metric & Specification Comparison
| Metric | Llama 3.3 70B (Groq/Together) | Claude 3.7 Sonnet | Advantage |
|---|---|---|---|
| Provider | Meta | Anthropic | - |
| Input Token Cost (1M) | $0.590 | $3.000 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $0.790 | $15.000 | Llama 3.3 70B (Groq/Together) |
| Context Window | 128k tokens | 200k tokens | Claude 3.7 Sonnet |
| Intelligence Benchmark Score | 88/100 | 98/100 | Claude 3.7 Sonnet |
| Streaming Latency | Ultra-Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Llama 3.3 70B (Groq/Together) is $0.59/1M vs Claude 3.7 Sonnet at $3.00/1M
- Output Token Cost: Llama 3.3 70B (Groq/Together) is $0.79/1M vs Claude 3.7 Sonnet at $15.00/1M
- Context Window: Llama 3.3 70B (Groq/Together) supports 128k tokens vs Claude 3.7 Sonnet with 200k tokens
- Benchmark Intelligence Rating: Llama 3.3 70B (Groq/Together) scores 88/100 vs Claude 3.7 Sonnet at 98/100
- Inference Latency: Llama 3.3 70B (Groq/Together) is rated Ultra-Fast vs Claude 3.7 Sonnet rated Fast
Calculate Your Team's Exact Bill Difference
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Deploying Llama 3.3 70B (Groq/Together) over Claude 3.7 Sonnet saves $142.72/mo ($1713/yr) at this volume.
Frequently Asked Questions
Is Llama 3.3 70B (Groq/Together) cheaper than Claude 3.7 Sonnet?
Llama 3.3 70B (Groq/Together) is significantly more economical, charging $0.59/1M input compared to $3.00/1M for Claude 3.7 Sonnet.
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, Claude 3.7 Sonnet is recommended.
How does context window compare between Llama 3.3 70B (Groq/Together) and Claude 3.7 Sonnet?
Claude 3.7 Sonnet offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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