Gemini 1.5 Pro vs Llama 3.3 70B (Groq/Together)
Compare Gemini 1.5 Pro 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.
Gemini 1.5 Pro charges $1.25/1M input and $5.00/1M 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 2.1x cheaper on input tokens. In benchmark reasoning, Gemini 1.5 Pro holds the higher intelligence rating (90/100). For latency-critical streaming, Gemini 1.5 Pro delivers 82 t/s (510ms TTFT) while Llama 3.3 70B (Groq/Together) provides 310 t/s (140ms TTFT).
Full Metric & Specification Comparison
| Metric | Gemini 1.5 Pro | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | Meta | - | |
| Input Token Cost (1M) | $1.250 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $5.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 2,000k tokens | 128k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 90/100 | 88/100 | Gemini 1.5 Pro |
| Streaming Latency | Fast | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 1.5 Pro is $1.25/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: Gemini 1.5 Pro is $5.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: Gemini 1.5 Pro supports 2,000k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: Gemini 1.5 Pro scores 90/100 vs Llama 3.3 70B (Groq/Together) at 88/100
- Inference Latency: Gemini 1.5 Pro is rated Fast vs Llama 3.3 70B (Groq/Together) rated Ultra-Fast
Calculate Your Team's Exact Bill Difference
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Deploying Llama 3.3 70B (Groq/Together) over Gemini 1.5 Pro saves $41.48/mo ($498/yr) at this volume.
Frequently Asked Questions
Is Gemini 1.5 Pro 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 $1.25/1M for Gemini 1.5 Pro.
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, Gemini 1.5 Pro is recommended.
How does context window compare between Gemini 1.5 Pro and Llama 3.3 70B (Groq/Together)?
Gemini 1.5 Pro offers the larger context window (2,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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