Gemini 1.0 Pro vs GPT-4
GPT-4 leads the LLM Stats Score 2.5 to -5.9. Gemini 1.0 Pro is 50.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-4 leads the overall LLM Stats Score 2.5 to -5.9, ranking #357 overall.
In the 3 individual benchmarks reported for both models, GPT-4 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.0 Pro is roughly 50.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 also accepts a larger context window (32,768 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 1.0 Pro
- cost matters — it's about 50.0x cheaper per token
- you want the most recent training data — it shipped Feb 2024
Choose GPT-4
- overall performance matters — it scores 2.5 and ranks #357 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you process long inputs — it offers a 32,768 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Gemini 1.0 Pro · 12 for GPT-4
Gemini 1.0 Pro outperforms in 0 benchmarks, while GPT-4 is better at 3 benchmarks (GPQA, MATH, MMLU).
GPT-4 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 1.0 Pro ($0.50/1M tokens) is 60.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 40.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than Gemini 1.0 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4 accepts 32,768 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas Gemini 1.0 Pro does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 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 1.0 Pro was released on 2024-02-15, while GPT-4 was released on 2023-06-13.
Gemini 1.0 Pro is 8 months newer than GPT-4.
Feb 15, 2024
2.7 years ago
8mo newerJun 13, 2023
3.4 years ago
Knowledge Cutoff
When training data ends
Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while GPT-4 has a cutoff of 2022-12-31.
Gemini 1.0 Pro has more recent training data (up to 2024-02-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Feb 2024
1.2 yr newerDec 2022
Provider Availability
Gemini 1.0 Pro is available from Google. GPT-4 is available from Azure, OpenAI.
Gemini 1.0 Pro
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs GPT-4.