GPT-5.6 Sol vs Gemini 3.1 Pro
How GPT-5.6 Sol (OpenAI) and Gemini 3.1 Pro (Google) compare on price, context window and best-fit use case.
In short: GPT-5.6 Sol is best for the highest-stakes reasoning, deep agents and frontier coding where capability outweighs cost, while Gemini 3.1 Pro suits long-document and multimodal workloads, RAG over huge corpora, and Google Cloud-native apps. On price it's $5.00 vs $2.00 (under 200K; $4.00 above) per 1M input tokens; on context, ~1M tokens (128K max output) vs 2M tokens.
Verdict
GPT-5.6 Sol is the more capable pick (Bq score 96 vs 92). Choose Gemini 3.1 Pro if budget leads: its input price is $2.00 (under 200K; $4.00 above) per 1M vs $5.00.
| Spec | GPT-5.6 Sol | Gemini 3.1 Pro |
|---|---|---|
| Developer | OpenAI | |
| Context window | ~1M tokens (128K max output) | 2M tokens |
| Input price /1M | $5.00 | $2.00 (under 200K; $4.00 above) |
| Output price /1M | $30.00 | $12.00 (under 200K; $18.00 above) |
| Modalities | text, image | text, image, audio, video |
| Best for | The highest-stakes reasoning, deep agents and frontier coding where capability outweighs cost. | Long-document and multimodal workloads, RAG over huge corpora, and Google Cloud-native apps. |
GPT-5.6 Sol
- Frontier reasoning and agentic workflows
- New Ultra subagent + Max reasoning modes
- ~1M context window
- Strong coding and tool use
Gemini 3.1 Pro
- Largest mainstream context (2M)
- Strong multimodal reasoning
- Native Google ecosystem integration
- Competitive pricing