Gemma 3 4B vs GPT-4
GPT-4 leads the LLM Stats Score 3.0 to -1.9. Gemma 3 4B is 1500.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-4 leads the overall LLM Stats Score 3.0 to -1.9, ranking #310 overall.
In the 3 individual benchmarks reported for both models, Gemma 3 4B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 3 4B is roughly 1500.0x 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 4B
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 1500.0x 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
- overall performance matters — it scores 3.0 and ranks #310 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Gemma 3 4B · 12 for GPT-4
Gemma 3 4B outperforms in 2 benchmarks (HumanEval, MATH), while GPT-4 is better at 1 benchmark (GPQA).
Gemma 3 4B shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 4B ($0.02/1M tokens) is 1500.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemma 3 4B ($0.04/1M tokens) is 1500.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 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's 32,768 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 3 4B and GPT-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 4B
GPT-4
License
Usage and distribution terms
Gemma 3 4B is licensed under Gemma, while GPT-4 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 was released on 2023-06-13.
Gemma 3 4B is 21 months newer than GPT-4.
Mar 12, 2025
1.5 years ago
1.7yr newerJun 13, 2023
3.3 years ago
Knowledge Cutoff
When training data ends
Gemma 3 4B has a knowledge cutoff of 2024-08-01, while GPT-4 has a cutoff of 2022-12-31.
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 (2022-12-31).
Aug 2024
1.7 yr newerDec 2022
Provider Availability
Gemma 3 4B is available from DeepInfra. GPT-4 is available from Azure, OpenAI.
Gemma 3 4B
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 4B and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 4B vs GPT-4.