Grok 4.7 vs GPT-4o Mini
Compare Grok 4.7 vs GPT-4o Mini API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Grok 4.7 charges $2.00/1M input and $6.00/1M output tokens, compared to GPT-4o Mini at $0.15/1M input and $0.60/1M output. GPT-4o Mini is 13.3x cheaper on input tokens. In reasoning benchmarks, Grok 4.7 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 | Grok 4.7 | GPT-4o Mini | Advantage |
|---|---|---|---|
| Provider | xAI | OpenAI | - |
| Input Token Cost (1M) | $2.000 | $0.150 | GPT-4o Mini |
| Output Token Cost (1M) | $6.000 | $0.600 | GPT-4o Mini |
| Context Window | 500k tokens | 128k tokens | Grok 4.7 |
| AA Intelligence Index | 35/100 | Unrated | Unrated |
| Streaming Latency | Moderate | Unrated | - |
Key Architectural Takeaways
- Input Token Cost: Grok 4.7 is $2.00/1M vs GPT-4o Mini at $0.15/1M
- Output Token Cost: Grok 4.7 is $6.00/1M vs GPT-4o Mini at $0.60/1M
- Context Window: Grok 4.7 supports 500k tokens vs GPT-4o Mini with 128k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: Grok 4.7 is rated Moderate vs GPT-4o Mini rated null
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying GPT-4o Mini over Grok 4.7 saves $68.25/mo ($819/yr) at this volume.
Frequently Asked Questions
Is Grok 4.7 cheaper than GPT-4o Mini?
GPT-4o Mini is significantly more economical, charging $0.15/1M input compared to $2.00/1M for Grok 4.7.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose GPT-4o Mini. If you require peak reasoning accuracy and complex tool use, Grok 4.7 is recommended.
How does context window compare between Grok 4.7 and GPT-4o Mini?
Grok 4.7 offers the larger context window (500k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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