GPT-5.4 Mini vs Grok 4.7
Compare GPT-5.4 Mini vs Grok 4.7 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-5.4 Mini charges $0.75/1M input and $4.50/1M output tokens, compared to Grok 4.7 at $2.00/1M input and $6.00/1M output. GPT-5.4 Mini is 2.7x cheaper on input tokens. In reasoning benchmarks, Grok 4.7 holds the higher AA Intelligence Index rating. For latency-critical streaming, GPT-5.4 Mini delivers 212 t/s (112.0s TTFT) while Grok 4.7 provides 72 t/s (43.0s TTFT).
Full Metric & Specification Comparison
| Metric | GPT-5.4 Mini | Grok 4.7 | Advantage |
|---|---|---|---|
| Provider | OpenAI | xAI | - |
| Input Token Cost (1M) | $0.750 | $2.000 | GPT-5.4 Mini |
| Output Token Cost (1M) | $4.500 | $6.000 | GPT-5.4 Mini |
| Context Window | 400k tokens | 500k tokens | Grok 4.7 |
| AA Intelligence Index | Unrated | 35/100 | Unrated |
| Streaming Latency | Ultra-Fast | Moderate | - |
Key Architectural Takeaways
- Input Token Cost: GPT-5.4 Mini is $0.75/1M vs Grok 4.7 at $2.00/1M
- Output Token Cost: GPT-5.4 Mini is $4.50/1M vs Grok 4.7 at $6.00/1M
- Context Window: GPT-5.4 Mini supports 400k tokens vs Grok 4.7 with 500k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-5.4 Mini is rated Ultra-Fast vs Grok 4.7 rated Moderate
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-5.4 Mini over Grok 4.7 saves $30.00/mo ($360/yr) at this volume.
Frequently Asked Questions
Is GPT-5.4 Mini cheaper than Grok 4.7?
GPT-5.4 Mini is significantly more economical, charging $0.75/1M 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-5.4 Mini. If you require peak reasoning accuracy and complex tool use, Grok 4.7 is recommended.
How does context window compare between GPT-5.4 Mini and Grok 4.7?
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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