Gemini 2.5 Pro vs GPT-5.4 nano
Gemini 2.5 Pro and GPT-5.4 nano are closely matched at 27.8 and 26.6 on the LLM Stats Score. GPT-5.4 nano is 7.4x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.5 Pro and GPT-5.4 nano are closely matched on the overall LLM Stats Score at 27.8 and 26.6.
The models split the 2 individual benchmarks reported for both models evenly.
On price, GPT-5.4 nano is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Pro also accepts a larger context window (1,000,000 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 2.5 Pro
- you process long inputs — it offers a 1,000,000 token context window
Choose GPT-5.4 nano
- cost matters — it's about 7.4x cheaper per token
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Gemini 2.5 Pro · 15 for GPT-5.4 nano
Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while GPT-5.4 nano is better at 1 benchmark (Humanity's Last Exam).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 6.3x more expensive than GPT-5.4 nano ($0.20/1M tokens).
For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 8.0x more expensive than GPT-5.4 nano ($1.25/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than GPT-5.4 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,000,000 input tokens compared to GPT-5.4 nano's 400,000 tokens. Gemini 2.5 Pro can generate longer responses up to 1,000,000 tokens, while GPT-5.4 nano is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.5 Pro and GPT-5.4 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Pro
GPT-5.4 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 2.5 Pro was released on 2025-05-20, while GPT-5.4 nano was released on 2026-03-17.
GPT-5.4 nano is 10 months newer than Gemini 2.5 Pro.
May 20, 2025
1.3 years ago
Mar 17, 2026
6 months ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while GPT-5.4 nano has a cutoff of 2025-08-31.
GPT-5.4 nano has more recent training data (up to 2025-08-31), making it potentially better informed about events through that date compared to Gemini 2.5 Pro (2025-01-31).
Jan 2025
Aug 2025
7 mo newerProvider Availability
Gemini 2.5 Pro is available from DeepInfra, Google. GPT-5.4 nano is available from OpenAI.
Gemini 2.5 Pro
GPT-5.4 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro and GPT-5.4 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Pro vs GPT-5.4 nano.