Gemini 3.1 Pro (Preview) vs Llama 3.3 70B (Groq/Together)
Compare Gemini 3.1 Pro (Preview) 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 3.1 Pro (Preview) charges $2.00/1M input and $12.00/1M 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 3.4x cheaper on input tokens. In reasoning benchmarks, Neither rated holds the higher AA Intelligence Index rating. For latency-critical streaming, throughput figures are not yet measured for at least one of these models.
Full Metric & Specification Comparison
| Metric | Gemini 3.1 Pro (Preview) | Llama 3.3 70B (Groq/Together) | Advantage |
|---|---|---|---|
| Provider | Meta | - | |
| Input Token Cost (1M) | $2.000 | $0.590 | Llama 3.3 70B (Groq/Together) |
| Output Token Cost (1M) | $12.000 | $0.790 | Llama 3.3 70B (Groq/Together) |
| Context Window | 1,000k tokens | 128k tokens | Gemini 3.1 Pro (Preview) |
| AA Intelligence Index | Unrated | Unrated | Unrated |
| Streaming Latency | Fast | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 3.1 Pro (Preview) is $2.00/1M vs Llama 3.3 70B (Groq/Together) at $0.59/1M
- Output Token Cost: Gemini 3.1 Pro (Preview) is $12.00/1M vs Llama 3.3 70B (Groq/Together) at $0.79/1M
- Context Window: Gemini 3.1 Pro (Preview) supports 1,000k tokens vs Llama 3.3 70B (Groq/Together) with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: Gemini 3.1 Pro (Preview) is rated Fast vs Llama 3.3 70B (Groq/Together) rated null
Calculate Your Team's Exact Bill Difference
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Deploying Llama 3.3 70B (Groq/Together) over Gemini 3.1 Pro (Preview) saves $105.22/mo ($1263/yr) at this volume.
Frequently Asked Questions
Is Gemini 3.1 Pro (Preview) 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 $2.00/1M for Gemini 3.1 Pro (Preview).
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, Neither rated is recommended.
How does context window compare between Gemini 3.1 Pro (Preview) and Llama 3.3 70B (Groq/Together)?
Gemini 3.1 Pro (Preview) offers the larger context window (1,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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