Claude 3.5 Sonnet vs Llama 3.3 70B (Groq/Together)
Compare Claude 3.5 Sonnet 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.
Claude 3.5 Sonnet charges $3.00/1M input and $15.00/1M 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 5.1x cheaper on input tokens. In benchmark reasoning, Claude 3.5 Sonnet holds the higher intelligence rating (94/100). For latency-critical streaming, Claude 3.5 Sonnet delivers 80 t/s (460ms TTFT) while Llama 3.3 70B (Groq/Together) provides 310 t/s (140ms TTFT).
Full Metric & Specification Comparison
| Metric | Claude 3.5 Sonnet | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | Anthropic | Meta | - |
| Input Token Cost (1M) | $3.000 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $15.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 200k tokens | 128k tokens | Claude 3.5 Sonnet |
| Intelligence Benchmark Score | 94/100 | 88/100 | Claude 3.5 Sonnet |
| Streaming Latency | Fast | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: Claude 3.5 Sonnet is $3.00/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: Claude 3.5 Sonnet is $15.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: Claude 3.5 Sonnet supports 200k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: Claude 3.5 Sonnet scores 94/100 vs Llama 3.3 70B (Groq/Together) at 88/100
- Inference Latency: Claude 3.5 Sonnet 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 Claude 3.5 Sonnet saves $142.72/mo ($1713/yr) at this volume.
Frequently Asked Questions
Is Claude 3.5 Sonnet 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 $3.00/1M for Claude 3.5 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 3.5 Sonnet is recommended.
How does context window compare between Claude 3.5 Sonnet and Llama 3.3 70B (Groq/Together)?
Claude 3.5 Sonnet offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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