GPT-5.6 Sol vs Gemini 3.1 Pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5.6 Sol | Gemini 3.1 Pro |
|---|---|---|
| Provider | OpenAI | |
| Input Price (1M) | $4.00 | $2.00 |
| Output Price (1M) | $20.00 | $12.00 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens. Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. Gemini 3.1 Pro is 50% cheaper on input tokens than GPT-5.6 Sol. For output tokens, Gemini 3.1 Pro is the more affordable option at $12.00/1M vs $20.00.
On context window, GPT-5.6 Sol supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5.6 Sol
- ✓ You are already integrated with OpenAI
When to choose Gemini 3.1 Pro
- ✓ You need the lowest input token cost ($ 2.00/1M)
- ✓ Your workload is output-heavy — Gemini 3.1 Pro generates text cheaper
- ✓ You are already integrated with Google
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is GPT-5.6 Sol cheaper than Gemini 3.1 Pro? ▼
Gemini 3.1 Pro is cheaper on input tokens at $2.00/1M vs $4.00/1M for GPT-5.6 Sol — a 50% saving.
What is the context window of GPT-5.6 Sol vs Gemini 3.1 Pro? ▼
GPT-5.6 Sol has a 1,000,000-token context window. Gemini 3.1 Pro has a 1,000,000-token context window. GPT-5.6 Sol supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5.6 Sol or Gemini 3.1 Pro? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Gemini 3.1 Pro is the cheaper option. For maximum context length, GPT-5.6 Sol supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.