Gemini 1.0 Pro vs GPT-4 Turbo
GPT-4 Turbo leads the LLM Stats Score 9.6 to -4.8. Gemini 1.0 Pro is 20.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-4 Turbo leads the overall LLM Stats Score 9.6 to -4.8, ranking #250 overall.
In the 3 individual benchmarks reported for both models, GPT-4 Turbo wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.0 Pro is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 Turbo also accepts a larger context window (128,000 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 1.0 Pro
- cost matters — it's about 20.0x cheaper per token
Choose GPT-4 Turbo
- overall performance matters — it scores 9.6 and ranks #250 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 128,000 token context window
- you want the most recent training data — it shipped Apr 2024
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 · 6 for GPT-4 Turbo
Gemini 1.0 Pro outperforms in 0 benchmarks, while GPT-4 Turbo is better at 3 benchmarks (GPQA, MATH, MMLU).
GPT-4 Turbo 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 20.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 20.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo 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 Turbo accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Gemini 1.0 Pro can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
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 Turbo was released on 2024-04-09.
GPT-4 Turbo is 2 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.5 years ago
Apr 9, 2024
2.4 years ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while GPT-4 Turbo has a cutoff of 2023-12-31.
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 Turbo (2023-12-31).
Feb 2024
2 mo newerDec 2023
Provider Availability
Gemini 1.0 Pro is available from Google. GPT-4 Turbo is available from Azure, OpenAI.
Gemini 1.0 Pro
GPT-4 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs GPT-4 Turbo.