Gemini 2.5 Pro vs GPT-4
Gemini 2.5 Pro leads the LLM Stats Score 27.9 to 3.3. Gemini 2.5 Pro is 10.9x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.5 Pro leads the overall LLM Stats Score 27.9 to 3.3, ranking #125 overall.
In the 1 individual benchmarks reported for both models, Gemini 2.5 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.5 Pro is roughly 10.9x 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 (1,048,576 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
- overall performance matters — it scores 27.9 and ranks #125 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 10.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 2025
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
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 · 12 for GPT-4
Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while GPT-4 is better at 0 benchmarks.
Gemini 2.5 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 2.5 Pro ($1.25/1M tokens) is 24.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 6.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than Gemini 2.5 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,048,576 input tokens compared to GPT-4's 32,768 tokens. Gemini 2.5 Pro can generate longer responses up to 65,536 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.5 Pro and GPT-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Pro
GPT-4
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-4 was released on 2023-06-13.
Gemini 2.5 Pro is 24 months newer than GPT-4.
May 20, 2025
1.3 years ago
1.9yr newerJun 13, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while GPT-4 has a cutoff of 2022-12-31.
Gemini 2.5 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 (2022-12-31).
Jan 2025
2.1 yr newerDec 2022
Provider Availability
Gemini 2.5 Pro is available from Google. GPT-4 is available from Azure, OpenAI.
Gemini 2.5 Pro
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Pro and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Pro vs GPT-4.