GPT-5.5 vs GPT-5.4 Mini
Compare GPT-5.5 vs GPT-5.4 Mini API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-5.5 charges $5.00/1M input and $30.00/1M output tokens, compared to GPT-5.4 Mini at $0.75/1M input and $4.50/1M output. GPT-5.4 Mini is 6.7x cheaper on input tokens. In reasoning benchmarks, Neither rated holds the higher AA Intelligence Index rating. For latency-critical streaming, GPT-5.5 delivers 79 t/s (39.0s TTFT) while GPT-5.4 Mini provides 212 t/s (112.0s TTFT).
Full Metric & Specification Comparison
| Metric | GPT-5.5 | GPT-5.4 Mini | Advantage |
|---|---|---|---|
| Provider | OpenAI | OpenAI | - |
| Input Token Cost (1M) | $5.000 | $0.750 | GPT-5.4 Mini |
| Output Token Cost (1M) | $30.000 | $4.500 | GPT-5.4 Mini |
| Context Window | 922k tokens | 400k tokens | GPT-5.5 |
| AA Intelligence Index | Unrated | Unrated | Unrated |
| Streaming Latency | Moderate | Ultra-Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-5.5 is $5.00/1M vs GPT-5.4 Mini at $0.75/1M
- Output Token Cost: GPT-5.5 is $30.00/1M vs GPT-5.4 Mini at $4.50/1M
- Context Window: GPT-5.5 supports 922k tokens vs GPT-5.4 Mini with 400k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-5.5 is rated Moderate vs GPT-5.4 Mini rated Ultra-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 GPT-5.4 Mini over GPT-5.5 saves $255.00/mo ($3060/yr) at this volume.
Frequently Asked Questions
Is GPT-5.5 cheaper than GPT-5.4 Mini?
GPT-5.4 Mini is significantly more economical, charging $0.75/1M input compared to $5.00/1M for GPT-5.5.
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, Neither rated is recommended.
How does context window compare between GPT-5.5 and GPT-5.4 Mini?
GPT-5.5 offers the larger context window (922k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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