Head-to-head · Updated
Data verifiedGPT-4o and Gemini 3.1 Pro serve different strengths at different prices. GPT-4o excels at multimodal tasks — image understanding, DALL-E integration, and voice — and remains a reliable mid-tier pick. Gemini 3.1 Pro undercuts it significantly on price ($2 vs $5/1M input), offers a 2M token context window (16× larger), and leads reasoning benchmarks like ARC-AGI-2. For research, large-document analysis, and cost-sensitive workloads, Gemini 3.1 Pro is the stronger pick. For multimodal and OpenAI ecosystem fit, GPT-4o still earns its place.
GPT-4o
Best all-around pick for image-heavy and multimodal workflows.
Gemini 3.1 Pro
Best for research and deep document analysis — 2M context at the best premium price.
Winner| GPT-4o | Gemini 3.1 Pro | |
|---|---|---|
| Input cost / 1M tokens | $$0.15/1M | $$2.00/1M |
| Output cost / 1M tokens | $$0.60/1M | $$12.00/1M |
| Context window | 128k tokens | 2M tokens |
| Speed | Fast | Balanced |
| Price tier | Balanced | Premium |
| Benchmarks | ||
| SWE-bench (coding) | 46% | 63.2% |
| Arena Elo | 1,295 | 1,380 |
| MMLU | 88.7% | 90% |
Which model wins for each use case — and why.
Gemini 3.1 Pro has a 2M token context window vs GPT-4o's 128K — a 16× advantage. For document analysis and research synthesis, this gap is decisive.
Gemini 3.1 Pro costs $2/1M input vs GPT-4o's $5/1M — 2.5× cheaper. At scale, this is a very significant saving.
GPT-4o has native DALL-E image generation alongside strong vision understanding. Gemini has multimodal support but no equivalent image generation at this tier.
Gemini 3.1 Pro leads the ARC-AGI-2 reasoning benchmark at 77.1%. GPT-4o is a capable reasoner but trails on the hardest logic tasks.
GPT-4o benefits from OpenAI's mature API ecosystem, plugin network, and broad third-party integrations. Google is catching up but OpenAI still has the edge here.
Pick GPT-4o if…
Pick Gemini 3.1 Pro if…
Bottom line
For most workflows, Gemini 3.1 Pro is the stronger choice.
The best research and long-context model available. Handles entire codebases, legal documents, and large datasets in a single pass — at a lower price than GPT-5.4 or Claude Sonnet 4.6.
Is GPT-4o or Gemini 3.1 Pro better?
Gemini 3.1 Pro wins on price, context window, and research depth. GPT-4o wins on multimodal/image generation and OpenAI ecosystem fit. For most analytical workloads, Gemini 3.1 Pro is the stronger value.
Which is cheaper — GPT-4o or Gemini?
Gemini 3.1 Pro is significantly cheaper at $2/1M input vs GPT-4o's $5/1M — 2.5× less expensive. Output is also cheaper at $12/1M vs $15/1M.
Which has a bigger context window?
Gemini 3.1 Pro has a 2M token context window — 16 times larger than GPT-4o's 128K. For large document analysis, this advantage is decisive.
Which is better for coding?
Neither is the top coding pick in 2026 — Claude Sonnet 4.6 leads there. Between the two, GPT-4o is the more familiar coding tool, but Gemini 3.1 Pro handles code competently at a lower price.
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