GPT-4o vs Gemini 1.5 Pro (2026)
OpenAI's GPT-4o vs Google's Gemini 1.5 Pro — the two giants of AI, compared across 10 real-world categories to help you choose the right model.
GPT-4o wins more categories and is the better general-purpose model for coding, vision, speed, and reasoning. Choose Gemini if you need to process extremely long documents, want lower API costs, or are building on Google Cloud and need native integrations.
Category Breakdown
GPT-4o scores 90.2% on HumanEval vs Gemini's 84.1%. OpenAI's model generally produces more reliable code with fewer hallucinated APIs and better debug reasoning.
GPT-4o was built as an omnimodal model from the ground up. It handles complex visual reasoning, OCR, chart analysis, and screenshot interpretation better than Gemini.
Gemini 1.5 Pro offers 2M tokens vs GPT-4o's 128K. For large codebases, long transcripts, or entire books, Gemini has a massive and decisive advantage.
Gemini 1.5 Pro: $1.25/1M input. GPT-4o: $2.50/1M input. Gemini is exactly 2x cheaper on input tokens — a significant cost difference at scale.
GPT-4o is consistently faster with lower time-to-first-token and higher throughput. This matters for real-time chat apps and interactive tools.
GPT-4o scores 76.6% on the MATH benchmark vs Gemini's 67.7%, a notable gap. For quantitative tasks, GPT-4o has a clear edge — and OpenAI's o1 goes even further.
Gemini 1.5 Pro can natively process video files up to 1 hour long. GPT-4o has no native video input, though it can analyse individual frames.
Both perform well across major languages. Gemini has a slight edge on some Asian languages due to Google's translation infrastructure; GPT-4o is more consistent on European languages.
Gemini integrates natively with Google Workspace (Docs, Sheets, Gmail), Google Search, and Google Cloud. If your stack is Google-first, Gemini is the natural choice.
GPT-4o benefits from OpenAI's broader ecosystem: Zapier, Make, Microsoft 365, and thousands of third-party tools with native ChatGPT integrations.
Specs at a Glance
| GPT-4o | Gemini 1.5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Context window | 128K tokens | 2M tokens |
| API input price | $2.50 / 1M | $1.25 / 1M |
| API output price | $10.00 / 1M | $5.00 / 1M |
| MMLU benchmark | 88.7% | 85.9% |
| HumanEval (coding) | 90.2% | 84.1% |
| MATH benchmark | 76.6% | 67.7% |
| Multimodal (image) | Yes | Yes |
| Video input | No | Yes |
| Web browsing | Yes | Yes (via Google Search) |
| Free tier | Yes | Yes |
When to Use Each
- Faster response times
- Better coding & debugging
- Advanced image reasoning
- Microsoft 365 & Copilot integration
- Broad third-party plugin support
- Processing huge documents (2M tokens)
- Lower API cost at volume
- Native video understanding
- Google Workspace integration
- Google Cloud / Vertex AI deployment
Compare all AI models
See the full picture — pricing, benchmarks, and capabilities across 12 models.
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