GPT-6.1 Sol vs GPT-5.5
Compare GPT-6.1 Sol vs GPT-5.5 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-6.1 Sol charges $2.00/1M input and $10.00/1M output tokens, compared to GPT-5.5 at $5.00/1M input and $30.00/1M output. GPT-6.1 Sol is 2.5x cheaper on input tokens. In reasoning benchmarks, GPT-6.1 Sol holds the higher AA Intelligence Index rating. For latency-critical streaming, GPT-6.1 Sol delivers 55 t/s (138.0s TTFT) while GPT-5.5 provides 79 t/s (39.0s TTFT).
Full Metric & Specification Comparison
| Metric | GPT-6.1 Sol | GPT-5.5 | Advantage |
|---|---|---|---|
| Provider | OpenAI | OpenAI | - |
| Input Token Cost (1M) | $2.000 | $5.000 | GPT-6.1 Sol |
| Output Token Cost (1M) | $10.000 | $30.000 | GPT-6.1 Sol |
| Context Window | 1,050k tokens | 922k tokens | GPT-6.1 Sol |
| AA Intelligence Index | 55/100 | Unrated | Unrated |
| Streaming Latency | Moderate | Moderate | - |
Key Architectural Takeaways
- Input Token Cost: GPT-6.1 Sol is $2.00/1M vs GPT-5.5 at $5.00/1M
- Output Token Cost: GPT-6.1 Sol is $10.00/1M vs GPT-5.5 at $30.00/1M
- Context Window: GPT-6.1 Sol supports 1,050k tokens vs GPT-5.5 with 922k tokens
- Benchmark Intelligence Rating: not rated for one or both models
- Inference Latency: GPT-6.1 Sol is rated Moderate vs GPT-5.5 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-6.1 Sol over GPT-5.5 saves $195.00/mo ($2340/yr) at this volume.
Frequently Asked Questions
Is GPT-6.1 Sol cheaper than GPT-5.5?
GPT-6.1 Sol is significantly more economical, charging $2.00/1M 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-6.1 Sol. If you require peak reasoning accuracy and complex tool use, GPT-6.1 Sol is recommended.
How does context window compare between GPT-6.1 Sol and GPT-5.5?
GPT-6.1 Sol offers the larger context window (1,050k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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