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All comparisons · Prices checked 2026-10-01
Gemini 3.1 Pro vs GPT-6 Sol: API cost comparison
For a typical chatbot reply, Gemini 3.1 Pro costs $0.0074 and GPT-6 Sol costs $0.0070 per request: GPT-6 Sol is 6% cheaper. It depends on the workload: Gemini 3.1 Pro is cheaper in 1 of the 5 workloads below and GPT-6 Sol in 2.
API prices
| Gemini 3.1 Pro | GPT-6 Sol | |
|---|---|---|
| Maker | OpenAI | |
| Input / 1M tokens | $2 | $2 |
| Output / 1M tokens | $12 | $10 |
| Output vs input price | 6.0× | 5.0× |
| Context window | 1.05M tokens | 922K tokens |
| Tokens for the same English text | ~95% of GPT's count (estimate) | baseline (GPT o200k count) |
Cost by workload
| Workload (per 1,000 requests) | Gemini 3.1 Pro | GPT-6 Sol | Cheaper |
|---|---|---|---|
| Chatbot reply short question plus some chat history · 1,500 in / 400 out | $7.41 | $7.00 | GPT-6 Sol 6% cheaper |
| Document Q&A (RAG) retrieved passages plus a question · 8,000 in / 500 out | $20.90 | $21.00 | ≈ same |
| Coding agent step large working context, short edit · 25,000 in / 800 out | $56.62 | $58.00 | ≈ same |
| Summarize a long report long input, short summary · 20,000 in / 300 out | $41.42 | $43.00 | Gemini 3.1 Pro 4% cheaper |
| Write an article short brief, long draft · 800 in / 2,000 out | $24.32 | $21.60 | GPT-6 Sol 11% cheaper |
The two trade places depending on the job. Gemini 3.1 Pro is cheaper per input token and GPT-6 Sol per output token, so they cost the same when a request produces about 0.07 output tokens per input token. Input-heavy work (RAG, long documents, agents) favors Gemini 3.1 Pro; output-heavy work (long writing, code generation) favors GPT-6 Sol.
Same text, different token counts. Each company uses its own tokenizer. By our estimate GPT-6 Sol counts about 5% more tokens than Gemini 3.1 Pro for the same English text, and the costs above already include that. Paste your own prompt into the token counter to see both counts.
Monthly cost
| Monthly volume | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| 10,000 chatbot replies / month | $74.10 | $70.00 |
| 100,000 chatbot replies / month | $741 | $700 |
| 1,000,000 chatbot replies / month | $7,410 | $7,000 |
Calculate your own
Enter your typical request size and volume.
Token counts are for English text measured with GPT's tokenizer; each model's own tokenizer difference is applied automatically.
Questions
Which is cheaper, Gemini 3.1 Pro or GPT-6 Sol?
For a typical chatbot reply (1,500 input and 400 output tokens), Gemini 3.1 Pro costs $0.0074 and GPT-6 Sol costs $0.0070 per request, so GPT-6 Sol is 6% cheaper. It depends on the workload: Gemini 3.1 Pro is cheaper in 1 of the 5 workloads below and GPT-6 Sol in 2.
How much do Gemini 3.1 Pro and GPT-6 Sol cost per million tokens?
Gemini 3.1 Pro costs $2 per 1M input tokens and $12 per 1M output tokens. GPT-6 Sol costs $2 input and $10 output. Prices checked 2026-10-01.
Do both models count the same text as the same number of tokens?
No. Each model family has its own tokenizer, so the same text can be a different number of tokens. The costs on this page already include that difference (estimated from GPT's tokenizer).
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Paste a real prompt to see its exact tokens and cost on Gemini 3.1 Pro, GPT-6 Sol and 30+ other models.
Open the token counter →Standard API list prices, short-context tier, no caching or batch discounts. Prices change; check each provider's pricing page before large jobs.