Head-to-head · Updated April 2026
GPT-5.5 is the stronger OpenAI coding and agentic workflow pick. Gemini 3.1 Pro remains the better long-context research value with a larger 2M context window in the catalog and lower input pricing. Choose GPT-5.5 for coding agents and OpenAI-native workflows. Choose Gemini 3.1 Pro for very large research inputs, document synthesis, and cost-sensitive long-context work.
GPT-5.5
Best OpenAI flagship for agentic coding, research, and computer-use work.
Gemini 3.1 Pro
Best for research and deep document analysis — 2M context at the best premium price.
| GPT-5.5 | Gemini 3.1 Pro | |
|---|---|---|
| Input cost / 1M tokens | $$5.00/1M | $$2.00/1M |
| Output cost / 1M tokens | $$30.00/1M | $$12.00/1M |
| Context window | 1M tokens | 2M tokens |
| Speed | Balanced | Balanced |
| Price tier | Premium | Premium |
Which model wins for each use case — and why.
GPT-5.5 is OpenAI's newest premium coding and agentic model, with strong SWE-Bench Pro and Terminal-Bench results.
Gemini 3.1 Pro has a larger listed context window at 2M tokens vs GPT-5.5's 1M, which matters for very large corpora.
Gemini 3.1 Pro is cheaper per input token in the catalog, making it easier to justify for high-volume research workloads.
GPT-5.5 wins for OpenAI/Codex workflows. Gemini wins for Google Workspace and long-context Google-native use cases.
Pick GPT-5.5 if…
Pick Gemini 3.1 Pro if…
Is GPT-5.5 or Gemini 3.1 Pro better?
GPT-5.5 is better for OpenAI-native coding and agent workflows. Gemini 3.1 Pro is better for very large research inputs and lower-cost long-context processing.
Which has the larger context window?
Gemini 3.1 Pro has the larger listed context window at 2M tokens. GPT-5.5 is listed at 1M tokens.
Which is better for coding?
GPT-5.5 is the better choice for coding agents and OpenAI/Codex workflows. Gemini can code, but this pairing favors GPT-5.5 for engineering work.
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