Gemini 3.1 Pro Preview is $3 cheaper per 1M input tokens (60% lower; 2.5x difference).
API cost decision in 10 seconds
🔥Gemini 3.1 Pro Preview vs 🔥GPT-5.5
Pick Gemini 3.1 Pro Preview for lower cost; pick GPT-5.5 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Gemini 3.1 Pro Preview for lower cost; pick GPT-5.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Gemini 3.1 Pro Preview is estimated at $8 vs $20 for GPT-5.5, saving $12 (60% lower).
Cost-first pickGemini 3.1 Pro Preview
Context-first pickGPT-5.5
Sample savings$1260%
10x traffic gap$120
GPT-5.5 has more context, but Gemini 3.1 Pro Preview saves $12 on the standard workload. At 10x that traffic, the same price gap is about $120. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Gemini 3.1 Pro Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Gemini 3.1 Pro Preview | $16 | $40 |
| Balanced workload | 1M input + 1M output | Gemini 3.1 Pro Preview | $14 | $35 |
| Output-heavy chatbot | 1M input + 5M output | Gemini 3.1 Pro Preview | $62 | $155 |
Gemini 3.1 Pro Preview is $18 cheaper per 1M output tokens (60% lower; 2.5x difference).
GPT-5.5 has 1.42K more context (1x larger).
Gemini 3.1 Pro Preview is $12 cheaper on the standard workload (60% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Gemini 3.1 Pro Preview has the lower input price; Gemini 3.1 Pro Preview has the lower output price; GPT-5.5 offers the larger context window. For the 1M input plus 500K output sample, Gemini 3.1 Pro Preview is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Gemini 3.1 Pro Preview and $20 for GPT-5.5.
Choose Gemini 3.1 Pro Preview when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Gemini 3.1 Pro Preview is estimated at $8 vs $20 for GPT-5.5, saving $12 (60% lower).
- Gemini 3.1 Pro Preview is $12 cheaper on the standard workload (60% lower).
- Gemini 3.1 Pro Preview is $3 cheaper per 1M input tokens (60% lower; 2.5x difference).
- Gemini 3.1 Pro Preview is $18 cheaper per 1M output tokens (60% lower; 2.5x difference).
- GPT-5.5 has 1.42K more context (1x larger).
| Feature | 🔥Gemini 3.1 Pro Preview (Google) | 🔥GPT-5.5 (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $5 |
| Completion Price per 1M tokens | $12 | $30 |
| Sample Workload Cost 1M input + 500K output | $8 | $20 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #13 | #17 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemini 3.1 Pro Preview | On the standard 1M input plus 500K output workload, Gemini 3.1 Pro Preview is estimated at $8 vs $20 for GPT-5.5, saving $12 (60% lower). |
| High-volume input processing | Gemini 3.1 Pro Preview | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemini 3.1 Pro Preview | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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Open OpenAI modelsGemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...