Model Comparison

Gemma 3n E4B Instructed vs GPT OSS 20B High

GPT OSS 20B High significantly outperforms across most benchmarks. GPT OSS 20B High is 125.0x 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 High is better at 2 benchmarks (AIME 2025, GPQA).

GPT OSS 20B High 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 OSS 20B High costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than GPT OSS 20B High ($0.10/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 80.0x more expensive than GPT OSS 20B High ($0.50/1M tokens).

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

* 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 OSS 20B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
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Model Size

Parameter count comparison

12.9B diff

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

Context Window

Maximum input and output token capacity

GPT OSS 20B High accepts 131,072 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT OSS 20B High can generate longer responses up to 131,072 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 High
Input131,072 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while GPT OSS 20B High 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 High

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 High was released on 2025-08-05.

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

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

GPT OSS 20B High

Aug 5, 2025

8 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 High'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 High's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

GPT OSS 20B High

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Provider Availability

Gemma 3n E4B Instructed is available from Together. GPT OSS 20B High is available from OpenAI.

Gemma 3n E4B Instructed

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

GPT OSS 20B High

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 AIME 2025 score (98.7% vs 11.6%)
Higher GPQA score (74.2% vs 23.7%)

Detailed Comparison

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

FAQ

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

GPT OSS 20B High significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and GPT OSS 20B High 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 OSS 20B High scores AIME 2025: 98.7%, GPQA: 74.2%.
GPT OSS 20B High is 200.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. GPT OSS 20B High costs $0.10/M input and $0.50/M output via openai.
Gemma 3n E4B Instructed supports 32K tokens and GPT OSS 20B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 131K), input pricing ($20.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and GPT OSS 20B High is developed by OpenAI.