Gemma 3 4B vs GPT-4 Turbo
GPT-4 Turbo shows notably better performance in the majority of benchmarks. Gemma 3 4B is 600.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemma 3 4B outperforms in 1 benchmarks (MATH), while GPT-4 Turbo is better at 2 benchmarks (GPQA, HumanEval). GPT-4 Turbo shows notably better performance in the majority of benchmarks.
On price, Gemma 3 4B is roughly 600.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 3 4B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemma 3 4B
- cost matters — it's about 600.0x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Mar 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4 Turbo
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 4B outperforms in 1 benchmarks (MATH), while GPT-4 Turbo is better at 2 benchmarks (GPQA, HumanEval).
GPT-4 Turbo shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 500.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 750.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemma 3 4B accepts 131,072 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 4B supports multimodal inputs, whereas GPT-4 Turbo does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 4B
GPT-4 Turbo
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while GPT-4 Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3 4B was released on 2025-03-12, while GPT-4 Turbo was released on 2024-04-09.
Gemma 3 4B is 11 months newer than GPT-4 Turbo.
Mar 12, 2025
1.5 years ago
11mo newerApr 9, 2024
2.4 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while GPT-4 Turbo has a cutoff of 2023-12-31.
Gemma 3 4B has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).
Aug 2024
8 mo newerDec 2023
Provider Availability
Gemma 3 4B is available from DeepInfra. GPT-4 Turbo is available from Azure, OpenAI.
Gemma 3 4B
GPT-4 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs GPT-4 Turbo.