Gemma 3n E4B Instructed vs GPT-5.1 Codex
Comparing Gemma 3n E4B Instructed and GPT-5.1 Codex across benchmarks, pricing, and capabilities.
Google · OpenAI · Updated for 2026
Which is better?
Gemma 3n E4B Instructed and GPT-5.1 Codex trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GPT-5.1 Codex is roughly 7.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 Codex also accepts a larger context window (400,000 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 3n E4B Instructed
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose GPT-5.1 Codex
- cost matters — it's about 7.3x cheaper per token
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed and GPT-5.1 Codexdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 16.0x more expensive than GPT-5.1 Codex ($1.25/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 4.0x more expensive than GPT-5.1 Codex ($10.00/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than GPT-5.1 Codex.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.1 Codex accepts 400,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT-5.1 Codex can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 3n E4B Instructed and GPT-5.1 Codex support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E4B Instructed
GPT-5.1 Codex
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 3n E4B Instructed was released on 2025-06-26, while GPT-5.1 Codex was released on 2025-11-19.
GPT-5.1 Codex is 5 months newer than Gemma 3n E4B Instructed.
Jun 26, 2025
1.2 years ago
Nov 19, 2025
9 months ago
4mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a knowledge cutoff of 2024-06-01, while GPT-5.1 Codex has a cutoff of 2024-09-30.
GPT-5.1 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).
Jun 2024
Sep 2024
3 mo newerProvider Availability
Gemma 3n E4B Instructed is available from Together. GPT-5.1 Codex is available from OpenAI.
Gemma 3n E4B Instructed
GPT-5.1 Codex
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed and GPT-5.1 Codex side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E4B Instructed vs GPT-5.1 Codex.