Model Comparison

Gemma 3n E4B Instructed vs GPT-5.1 Codex Mini

GPT-5.1 Codex Mini significantly outperforms across most benchmarks. GPT-5.1 Codex Mini is 36.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GPT-5.1 Codex Mini is better at 1 benchmark (AIME 2025).

GPT-5.1 Codex Mini significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5.1 Codex Mini costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 80.0x more expensive than GPT-5.1 Codex Mini ($0.25/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 20.0x more expensive than GPT-5.1 Codex Mini ($2.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than GPT-5.1 Codex Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
OpenAI
GPT-5.1 Codex Mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex Mini accepts 400,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT-5.1 Codex Mini can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
OpenAI
GPT-5.1 Codex Mini
Input400,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and GPT-5.1 Codex Mini support multimodal inputs.

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

Gemma 3n E4B Instructed

Text
Images
Audio
Video

GPT-5.1 Codex Mini

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-5.1 Codex Mini

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 Mini was released on 2025-11-12.

GPT-5.1 Codex Mini is 5 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

GPT-5.1 Codex Mini

Nov 12, 2025

5 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while GPT-5.1 Codex Mini's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without GPT-5.1 Codex Mini's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

GPT-5.1 Codex Mini

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. GPT-5.1 Codex Mini is available from OpenAI.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

GPT-5.1 Codex Mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
OpenAI
Larger context window (400,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (42.1% vs 11.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
OpenAI
GPT-5.1 Codex Mini

FAQ

Common questions about Gemma 3n E4B Instructed vs GPT-5.1 Codex Mini

GPT-5.1 Codex Mini significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and GPT-5.1 Codex Mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. GPT-5.1 Codex Mini scores AIME 2025: 42.1%.
GPT-5.1 Codex Mini is 80.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. GPT-5.1 Codex Mini costs $0.25/M input and $2.00/M output via openai.
Gemma 3n E4B Instructed supports 32K tokens and GPT-5.1 Codex Mini supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 400K), input pricing ($20.00 vs $0.25/M). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and GPT-5.1 Codex Mini is developed by OpenAI.