Model Comparison

Gemma 3n E4B Instructed vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 285.7x 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 OSS 20B is better at 2 benchmarks (GPQA, MMLU).

GPT OSS 20B significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 400.0x more expensive than GPT OSS 20B ($0.05/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 200.0x more expensive than GPT OSS 20B ($0.20/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

12.9B diff

GPT OSS 20B has 12.9B more parameters than Gemma 3n E4B Instructed, making it 161.3% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
8.0B
Gemma 3n E4B Instructed
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

GPT OSS 20B accepts 131,072 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT OSS 20B can generate longer responses up to 32,768 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 OSS 20B
Input131,072 tokens
Output32,768 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas GPT OSS 20B 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 OSS 20B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while GPT OSS 20B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B Instructed

Proprietary

Closed source

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 1 month newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

GPT OSS 20B

Aug 5, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while GPT OSS 20B'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 OSS 20B's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

GPT OSS 20B

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

Gemma 3n E4B Instructed

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

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (71.5% vs 23.7%)
Higher MMLU score (85.3% vs 64.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
OpenAI
GPT OSS 20B

FAQ

Common questions about Gemma 3n E4B Instructed vs GPT OSS 20B.

Which is better, Gemma 3n E4B Instructed or GPT OSS 20B?

GPT OSS 20B significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and GPT OSS 20B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E4B Instructed compare to GPT OSS 20B 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 OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

Is Gemma 3n E4B Instructed cheaper than GPT OSS 20B?

GPT OSS 20B is 400.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.

What are the context window sizes for Gemma 3n E4B Instructed and GPT OSS 20B?

Gemma 3n E4B Instructed supports 32K tokens and GPT OSS 20B supports 131K 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 OSS 20B?

Key differences include context window (32K vs 131K), input pricing ($20.00 vs $0.05/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and GPT OSS 20B?

Gemma 3n E4B Instructed is developed by Google and GPT OSS 20B is developed by OpenAI.