Gemma 4 E4B vs GPT-4
Gemma 4 E4B leads the LLM Stats Score 13.8 to 3.0. Gemma 4 E4B is 937.5x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemma 4 E4B leads the overall LLM Stats Score 13.8 to 3.0, ranking #250 overall.
In the 1 individual benchmarks reported for both models, Gemma 4 E4B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 4 E4B is roughly 937.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 4 E4B 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 4 E4B
- overall performance matters — it scores 13.8 and ranks #250 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 937.5x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Gemma 4 E4B · 12 for GPT-4
Gemma 4 E4B outperforms in 1 benchmarks (GPQA), while GPT-4 is better at 0 benchmarks.
Gemma 4 E4B 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, Gemma 4 E4B ($0.02/1M tokens) is 1500.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemma 4 E4B ($0.10/1M tokens) is 600.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than Gemma 4 E4B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemma 4 E4B accepts 131,072 input tokens compared to GPT-4's 32,768 tokens. Gemma 4 E4B 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 4 E4B and GPT-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 E4B
GPT-4
License
Usage and distribution terms
Gemma 4 E4B is licensed under Apache 2.0, while GPT-4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 E4B was released on 2026-04-02, while GPT-4 was released on 2023-06-13.
Gemma 4 E4B is 34 months newer than GPT-4.
Apr 2, 2026
6 months ago
2.8yr newerJun 13, 2023
3.3 years ago
Knowledge Cutoff
When training data ends
Gemma 4 E4B has a knowledge cutoff of 2025-01-01, while GPT-4 has a cutoff of 2022-12-31.
Gemma 4 E4B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Jan 2025
2.1 yr newerDec 2022
Provider Availability
Gemma 4 E4B is available from DeepInfra. GPT-4 is available from Azure, OpenAI.
Gemma 4 E4B
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 E4B and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 E4B vs GPT-4.