Model Comparison

Gemma 3n E2B Instructed vs GPT OSS 120B

GPT OSS 120B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU).

GPT OSS 120B significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
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Model Size

Parameter count comparison

108.8B diff

GPT OSS 120B has 108.8B more parameters than Gemma 3n E2B Instructed, making it 1360.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
8.0B
Gemma 3n E2B Instructed
116.8B
GPT OSS 120B

Context Window

Maximum input and output token capacity

Only GPT OSS 120B specifies input context (131,072 tokens). Only GPT OSS 120B specifies output context (131,072 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas GPT OSS 120B does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

GPT OSS 120B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while GPT OSS 120B uses Apache 2.0.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 1 month newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

GPT OSS 120B

Aug 5, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while GPT OSS 120B's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without GPT OSS 120B's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

GPT OSS 120B

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (131,072 tokens)
Has open weights
Higher GPQA score (80.1% vs 24.8%)
Higher MMLU score (90.0% vs 60.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
OpenAI
GPT OSS 120B

FAQ

Common questions about Gemma 3n E2B Instructed vs GPT OSS 120B

GPT OSS 120B significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and GPT OSS 120B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.
Gemma 3n E2B Instructed supports an unknown number of tokens and GPT OSS 120B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed is developed by Google and GPT OSS 120B is developed by OpenAI.