Model Comparison
Gemini 3.1 Pro vs GPT-3.5 TurboWhich is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. GPT-3.5 Turbo is 7.5x cheaper per token.
Verdict: Gemini 3.1 Pro vs GPT-3.5 Turbo — which is better?
Gemini 3.1 Pro (by Google) and GPT-3.5 Turbo (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, GPT-3.5 Turbo is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.1 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Feb 2026
Choose GPT-3.5 Turbo if…
- cost matters — it's about 7.5x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 5.0x more expensive than GPT-3.5 Turbo ($0.50/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 10.0x more expensive than GPT-3.5 Turbo ($1.50/1M tokens).
In conclusion, Gemini 3.1 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 3.1 Pro accepts 1,048,576 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.1 Pro supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.1 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 3.1 Pro was released on 2026-02-19, while GPT-3.5 Turbo was released on 2023-03-21.
Gemini 3.1 Pro is 36 months newer than GPT-3.5 Turbo.
Feb 19, 2026
3 months ago
2.9yr newerMar 21, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while GPT-3.5 Turbo has a cutoff of 2021-09-30.
Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).
Jan 2025
3.3 yr newerSep 2021
Provider Availability
Gemini 3.1 Pro is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.
Gemini 3.1 Pro
GPT-3.5 Turbo
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs GPT-3.5 Turbo.