GPT-6 Sol vs Pro 3.1
A cost comparison of two tracked flagship tiers. Tier roles do not establish equal capability, quality or speed.
| Model / service | Tier | Input / 1M | Output / 1M | Observation |
|---|---|---|---|---|
| GPT-6 Sol OpenAI | Flagship | $2.00 | $10.00 | 2026-10-05 Verified |
| Pro 3.1 Google Gemini | Flagship | $2.00 | $12.00 | 2026-10-05 Verified |
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These are recorded base standard list rates in USD per million tokens. Promotions, long-context surcharges, Batch, cache write/storage and other service charges can change the bill. Use the calculator for its supported workload rules and check the linked provider terms. A carried observation is the last known rate, not a fresh verification.
GPT-6 Sol: context capacity 1.05M. Official OpenAI pricing source.
Pro 3.1: context capacity 1M. Official Google Gemini pricing source.
What would 100,000 English words cost?
Using TokenScale’s estimate of 4 tokens per 3 English words, 100,000 words is about 133,333 tokens. Each column below bills only that direction at the recorded base rate; it is not a complete conversation bill. Language, tokenization, context limits and provider terms can change the result. These are calculations, not provider quotes.
| Model | Input only | Output only |
|---|---|---|
| GPT-6 Sol | $0.2667 | $1.33 |
| Pro 3.1 | $0.2667 | $1.60 |
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