Model Comparison

Gemma 3n E4B Instructed vs GPT-5 Codex

Comparing Gemma 3n E4B Instructed and GPT-5 Codex across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B Instructed and GPT-5 Codex don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas GPT-5 Codex does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

GPT-5 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E4B Instructed

Proprietary

Closed source

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while GPT-5 Codex was released on 2025-09-15.

GPT-5 Codex is 3 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

GPT-5 Codex

Sep 15, 2025

8 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a knowledge cutoff of 2024-06-01, while GPT-5 Codex has a cutoff of 2024-09-30.

GPT-5 Codex has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Gemma 3n E4B Instructed (2024-06-01).

Gemma 3n E4B Instructed

Jun 2024

GPT-5 Codex

Sep 2024

3 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (32,000 tokens)
Supports multimodal inputs
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
OpenAI
GPT-5 Codex

FAQ

Common questions about Gemma 3n E4B Instructed vs GPT-5 Codex.

Which is better, Gemma 3n E4B Instructed or GPT-5 Codex?

Gemma 3n E4B Instructed (Google) and GPT-5 Codex (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B Instructed compare to GPT-5 Codex in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for Gemma 3n E4B Instructed and GPT-5 Codex?

Gemma 3n E4B Instructed supports 32K tokens and GPT-5 Codex supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B Instructed and GPT-5 Codex?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and GPT-5 Codex?

Gemma 3n E4B Instructed is developed by Google and GPT-5 Codex is developed by OpenAI.