Gemini 1.5 Pro vs Grok 2
Compare Gemini 1.5 Pro vs Grok 2 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 Grok 2 at $2.00/1M input and $10.00/1M output. Gemini 1.5 Pro is 1.6x cheaper on input tokens. In benchmark reasoning, Grok 2 holds the higher intelligence rating (91/100). For latency-critical streaming, Gemini 1.5 Pro delivers 82 t/s (510ms TTFT) while Grok 2 provides 75 t/s (440ms TTFT).
Full Metric & Specification Comparison
| Metric | Gemini 1.5 Pro | Grok 2 | Advantage |
|---|---|---|---|
| Provider | xAI | - | |
| Input Token Cost (1M) | $1.250 | $2.000 | Gemini 1.5 Pro |
| Output Token Cost (1M) | $5.000 | $10.000 | Gemini 1.5 Pro |
| Context Window | 2,000k tokens | 128k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 90/100 | 91/100 | Grok 2 |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 1.5 Pro is $1.25/1M vs Grok 2 at $2.00/1M
- Output Token Cost: Gemini 1.5 Pro is $5.00/1M vs Grok 2 at $10.00/1M
- Context Window: Gemini 1.5 Pro supports 2,000k tokens vs Grok 2 with 128k tokens
- Benchmark Intelligence Rating: Gemini 1.5 Pro scores 90/100 vs Grok 2 at 91/100
- Inference Latency: Gemini 1.5 Pro is rated Fast vs Grok 2 rated 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 Gemini 1.5 Pro over Grok 2 saves $48.75/mo ($585/yr) at this volume.
Frequently Asked Questions
Is Gemini 1.5 Pro cheaper than Grok 2?
Gemini 1.5 Pro is significantly more economical, charging $1.25/1M input compared to $2.00/1M for Grok 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Gemini 1.5 Pro. If you require peak reasoning accuracy and complex tool use, Grok 2 is recommended.
How does context window compare between Gemini 1.5 Pro and Grok 2?
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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