Gemini 1.5 Pro vs GPT-3.5 Turbo
Gemini 1.5 Pro leads the LLM Stats Score 12.0 to -9.4. GPT-3.5 Turbo is 5.8x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Pro leads the overall LLM Stats Score 12.0 to -9.4, ranking #261 overall.
In the 8 individual benchmarks reported for both models, Gemini 1.5 Pro wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-3.5 Turbo is roughly 5.8x 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 #261 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 8 exact shared results
- you process long inputs — it offers a 2,097,152 token context window
- you want the most recent training data — it shipped May 2024
Choose GPT-3.5 Turbo
- cost matters — it's about 5.8x cheaper per token
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 · 8 for GPT-3.5 Turbo
Gemini 1.5 Pro outperforms in 8 benchmarks (DROP, GPQA, HumanEval, MATH, MathVista, MGSM, MMLU, MMMU), while GPT-3.5 Turbo 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 5.0x more expensive than GPT-3.5 Turbo ($0.50/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 6.7x more expensive than GPT-3.5 Turbo ($1.50/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than GPT-3.5 Turbo.*
* 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-3.5 Turbo's 16,385 tokens. Gemini 1.5 Pro can generate longer responses up to 8,192 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Pro supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
GPT-3.5 Turbo
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-3.5 Turbo was released on 2023-03-21.
Gemini 1.5 Pro is 14 months newer than GPT-3.5 Turbo.
May 1, 2024
2.4 years ago
1.1yr newerMar 21, 2023
3.5 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.
Gemini 1.5 Pro has more recent training data (up to 2023-11-01), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).
Nov 2023
2.2 yr newerSep 2021
Provider Availability
Gemini 1.5 Pro is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.
Gemini 1.5 Pro
GPT-3.5 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Pro vs GPT-3.5 Turbo.