Gemini 3.5 Flash-Lite vs GPT-4 Turbo
Gemini 3.5 Flash-Lite leads the LLM Stats Score 29.9 to 9.0. Gemini 3.5 Flash-Lite is 17.6x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.5 Flash-Lite leads the overall LLM Stats Score 29.9 to 9.0, ranking #123 overall.
On price, Gemini 3.5 Flash-Lite is roughly 17.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite
- overall performance matters — it scores 29.9 and ranks #123 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 17.6x 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 Jul 2026
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Gemini 3.5 Flash-Lite · 6 for GPT-4 Turbo
Gemini 3.5 Flash-Lite and GPT-4 Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 33.3x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 12.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Gemini 3.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 3.5 Flash-Lite can generate longer responses up to 65,536 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas GPT-4 Turbo does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.5 Flash-Lite
GPT-4 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 3.5 Flash-Lite was released on 2026-07-21, while GPT-4 Turbo was released on 2024-04-09.
Gemini 3.5 Flash-Lite is 28 months newer than GPT-4 Turbo.
Jul 21, 2026
1 months ago
2.3yr newerApr 9, 2024
2.4 years ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while GPT-4 Turbo has a cutoff of 2023-12-31.
Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).
Mar 2026
2.3 yr newerDec 2023
Provider Availability
Gemini 3.5 Flash-Lite is available from Google. GPT-4 Turbo is available from Azure, OpenAI.
Gemini 3.5 Flash-Lite
GPT-4 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash-Lite vs GPT-4 Turbo.