GPT-4o (Omni) vs Grok 2
Compare GPT-4o (Omni) vs Grok 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o (Omni) charges $2.50/1M input and $10.00/1M output tokens, compared to Grok 2 at $2.00/1M input and $10.00/1M output. Grok 2 is 1.3x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, GPT-4o (Omni) delivers 90 t/s (420ms TTFT) while Grok 2 provides 75 t/s (440ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | Grok 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | xAI | - |
| Input Token Cost (1M) | $2.500 | $2.000 | Grok 2 |
| Output Token Cost (1M) | $10.000 | $10.000 | Tie |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 92/100 | 91/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs Grok 2 at $2.00/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs Grok 2 at $10.00/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs Grok 2 with 128k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs Grok 2 at 91/100
- Inference Latency: GPT-4o (Omni) 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 Grok 2 over GPT-4o (Omni) saves $7.50/mo ($90/yr) at this volume.
Frequently Asked Questions
Is GPT-4o (Omni) cheaper than Grok 2?
Grok 2 is significantly more economical, charging $2.00/1M input compared to $2.50/1M for GPT-4o (Omni).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Grok 2. If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between GPT-4o (Omni) and Grok 2?
GPT-4o (Omni) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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