Llama 3.3 70B (Groq/Together) vs Command R+ (Cohere)
Compare Llama 3.3 70B (Groq/Together) vs Command R+ (Cohere) 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 Command R+ (Cohere) at $2.50/1M input and $10.00/1M output. Llama 3.3 70B (Groq/Together) is 4.2x cheaper on input tokens. In benchmark reasoning, Command R+ (Cohere) holds the higher intelligence rating (90/100). For latency-critical streaming, Llama 3.3 70B (Groq/Together) delivers 310 t/s (140ms TTFT) while Command R+ (Cohere) provides 68 t/s (410ms TTFT).
Full Metric & Specification Comparison
| Metric | Llama 3.3 70B (Groq/Together) | Command R+ (Cohere) | Advantage |
|---|---|---|---|
| Provider | Meta | Cohere | - |
| Input Token Cost (1M) | $0.590 | $2.500 | 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 | 90/100 | Command R+ (Cohere) |
| Streaming Latency | Ultra-Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Llama 3.3 70B (Groq/Together) is $0.59/1M vs Command R+ (Cohere) at $2.50/1M
- Output Token Cost: Llama 3.3 70B (Groq/Together) is $0.79/1M vs Command R+ (Cohere) at $10.00/1M
- Context Window: Llama 3.3 70B (Groq/Together) supports 128k tokens vs Command R+ (Cohere) with 128k tokens
- Benchmark Intelligence Rating: Llama 3.3 70B (Groq/Together) scores 88/100 vs Command R+ (Cohere) at 90/100
- Inference Latency: Llama 3.3 70B (Groq/Together) is rated Ultra-Fast vs Command R+ (Cohere) rated Fast
Calculate Your Team's Exact Bill Difference
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Deploying Llama 3.3 70B (Groq/Together) over Command R+ (Cohere) saves $97.72/mo ($1173/yr) at this volume.
Frequently Asked Questions
Is Llama 3.3 70B (Groq/Together) cheaper than Command R+ (Cohere)?
Llama 3.3 70B (Groq/Together) is significantly more economical, charging $0.59/1M input compared to $2.50/1M for Command R+ (Cohere).
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, Command R+ (Cohere) is recommended.
How does context window compare between Llama 3.3 70B (Groq/Together) and Command R+ (Cohere)?
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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