Gemini 1.5 Pro vs GPT-4.1 nano
Gemini 1.5 Pro leads the LLM Stats Score 12.0 to 1.6. GPT-4.1 nano is 25.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Pro leads the overall LLM Stats Score 12.0 to 1.6, ranking #258 overall.
In the 4 individual benchmarks reported for both models, Gemini 1.5 Pro wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 nano is roughly 25.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.5 Pro
- overall performance matters — it scores 12.0 and ranks #258 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you process long inputs — it offers a 2,097,152 token context window
Choose GPT-4.1 nano
- cost matters — it's about 25.0x cheaper per token
- you want the most recent training data — it shipped Apr 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Gemini 1.5 Pro · 24 for GPT-4.1 nano
Gemini 1.5 Pro outperforms in 4 benchmarks (GPQA, MathVista, MMLU, MMMU), while GPT-4.1 nano is better at 0 benchmarks.
Gemini 1.5 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 25.0x more expensive than GPT-4.1 nano ($0.10/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 25.0x more expensive than GPT-4.1 nano ($0.40/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to GPT-4.1 nano's 1,047,576 tokens. GPT-4.1 nano can generate longer responses up to 32,768 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 1.5 Pro and GPT-4.1 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Pro
GPT-4.1 nano
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 1.5 Pro was released on 2024-05-01, while GPT-4.1 nano was released on 2025-04-14.
GPT-4.1 nano is 12 months newer than Gemini 1.5 Pro.
May 1, 2024
2.4 years ago
Apr 14, 2025
1.4 years ago
11mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while GPT-4.1 nano has a cutoff of 2024-05-31.
GPT-4.1 nano has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).
Nov 2023
May 2024
6 mo newerProvider Availability
Gemini 1.5 Pro is available from Google. GPT-4.1 nano is available from OpenAI.
Gemini 1.5 Pro
GPT-4.1 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and GPT-4.1 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs GPT-4.1 nano.