Model Comparison

Gemini 3.1 Pro vs GPT-4.1Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. GPT-4.1 is 1.6x cheaper per token.

Verdict: Gemini 3.1 Pro vs GPT-4.1 — which is better?

Gemini 3.1 Pro (by Google) and GPT-4.1 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MMMLU, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, GPT-4.1 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GPT-4.1 if…

  • cost matters — it's about 1.6x cheaper per token
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MMMLU, SWE-Bench Verified), while GPT-4.1 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 1.3x more expensive than GPT-4.1 ($2.00/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 1.9x more expensive than GPT-4.1 ($8.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than GPT-4.1.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to GPT-4.1's 1,047,576 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while GPT-4.1 is limited to 32,768 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and GPT-4.1 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-4.1

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-4.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while GPT-4.1 was released on 2025-04-14.

Gemini 3.1 Pro is 10 months newer than GPT-4.1.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

10mo newer
GPT-4.1

Apr 14, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while GPT-4.1 has a cutoff of 2024-06-01.

Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to GPT-4.1 (2024-06-01).

Gemini 3.1 Pro

Jan 2025

7 mo newer
GPT-4.1

Jun 2024

Provider Availability

Gemini 3.1 Pro is available from Google. GPT-4.1 is available from OpenAI.

Gemini 3.1 Pro

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

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 66.3%)
Higher Humanity's Last Exam score (51.4% vs 5.4%)
Higher MMMLU score (92.6% vs 87.3%)
Higher SWE-Bench Verified score (80.6% vs 54.6%)
OpenAI
Less expensive input tokens
Less expensive output tokens
GoogleGemini 3.1 Pro
OpenAIGPT-4.1
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
OpenAI
GPT-4.1

FAQ

Common questions about Gemini 3.1 Pro vs GPT-4.1.

Which is better, Gemini 3.1 Pro or GPT-4.1?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and GPT-4.1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to GPT-4.1 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%.

Is Gemini 3.1 Pro cheaper than GPT-4.1?

GPT-4.1 is 1.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. GPT-4.1 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for Gemini 3.1 Pro and GPT-4.1?

Gemini 3.1 Pro supports 1.0M tokens and GPT-4.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and GPT-4.1?

Key differences include context window (1.0M vs 1.0M), input pricing ($2.50 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and GPT-4.1?

Gemini 3.1 Pro is developed by Google and GPT-4.1 is developed by OpenAI.

Related comparisons