Model Comparison

Gemma 3n E4B Instructed vs GPT-5 nano

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 181.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GPT-5 nano is better at 2 benchmarks (AIME 2025, GPQA).

GPT-5 nano significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 400.0x more expensive than GPT-5 nano ($0.05/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 100.0x more expensive than GPT-5 nano ($0.40/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than GPT-5 nano.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 nano accepts 400,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT-5 nano 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 nano
Input400,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B Instructed and GPT-5 nano 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 nano

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 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 1 month newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

GPT-5 nano

Aug 7, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a knowledge cutoff of 2024-06-01, while GPT-5 nano has a cutoff of 2024-05-30.

Gemma 3n E4B Instructed has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-5 nano (2024-05-30).

Gemma 3n E4B Instructed

Jun 2024

1 mo newer
GPT-5 nano

May 2024

Provider Availability

Gemma 3n E4B Instructed is available from Together. GPT-5 nano is available from OpenAI.

Gemma 3n E4B Instructed

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

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
OpenAI
Larger context window (400,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher AIME 2025 score (85.2% vs 11.6%)
Higher GPQA score (71.2% vs 23.7%)

Detailed Comparison

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

FAQ

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

GPT-5 nano significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and GPT-5 nano 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 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.
GPT-5 nano is 400.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. GPT-5 nano costs $0.05/M input and $0.40/M output via openai.
Gemma 3n E4B Instructed supports 32K tokens and GPT-5 nano 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 $0.05/M). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and GPT-5 nano is developed by OpenAI.