Model Comparison

Gemini 3.1 Pro vs GPT-4o

Gemini 3.1 Pro significantly outperforms across most benchmarks. GPT-4o is 1.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3.1 Pro outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro, SWE-Bench Verified), while GPT-4o is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) costs the same as GPT-4o ($2.50/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 1.5x more expensive than GPT-4o ($10.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GPT-4o.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
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Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to GPT-4o's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while GPT-4o is limited to 16,384 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and GPT-4o support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.1 Pro

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GPT-4o was released on 2024-08-06.

Gemini 3.1 Pro is 19 months newer than GPT-4o.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

1.5yr newer
GPT-4o

Aug 6, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while GPT-4o's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without GPT-4o's cutoff date.

Gemini 3.1 Pro

Jan 2025

GPT-4o

Provider Availability

Gemini 3.1 Pro is available from Google. GPT-4o is available from Azure, OpenAI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 70.1%)
Higher Humanity's Last Exam score (51.4% vs 5.3%)
Higher MMMLU score (92.6% vs 81.4%)
Higher MMMU-Pro score (80.5% vs 59.9%)
Higher SWE-Bench Verified score (80.6% vs 33.2%)
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
OpenAI
GPT-4o

FAQ

Common questions about Gemini 3.1 Pro vs GPT-4o

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.
Both models cost $2.50 per million input tokens.
Gemini 3.1 Pro supports 1.0M tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 128K). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and GPT-4o is developed by OpenAI.