Model Comparison

Gemma 3n E4B vs GPT-5.3 Codex

Comparing Gemma 3n E4B and GPT-5.3 Codex across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and GPT-5.3 Codex don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemma 3n E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-5.3 Codex
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-5.3 Codex specifies input context (400,000 tokens). Only GPT-5.3 Codex specifies output context (128,000 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and GPT-5.3 Codex support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B

Text
Images
Audio
Video

GPT-5.3 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

Proprietary

Closed source

GPT-5.3 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while GPT-5.3 Codex was released on 2026-02-05.

GPT-5.3 Codex is 7 months newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

9 months ago

GPT-5.3 Codex

Feb 5, 2026

2 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while GPT-5.3 Codex's cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without GPT-5.3 Codex's cutoff date.

Gemma 3n E4B

Jun 2024

GPT-5.3 Codex

—

Outputs Comparison

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Key Takeaways

Google
OpenAI
Larger context window (400,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
OpenAI
GPT-5.3 Codex

FAQ

Common questions about Gemma 3n E4B vs GPT-5.3 Codex

Gemma 3n E4B (Google) and GPT-5.3 Codex (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, OSWorld-Verified: 64.7%, SWE-Bench Pro: 56.8%.
Gemma 3n E4B supports an unknown number of tokens and GPT-5.3 Codex supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Gemma 3n E4B is developed by Google and GPT-5.3 Codex is developed by OpenAI.