Model Comparison
Gemma 3n E4B Instructed vs GPT OSS 120BWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 138.9x cheaper per token.
Verdict: Gemma 3n E4B Instructed vs GPT OSS 120B — which is better?
Gemma 3n E4B Instructed (by Google) and GPT OSS 120B (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU). GPT OSS 120B significantly outperforms across most benchmarks.
On price, GPT OSS 120B is roughly 138.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3n E4B Instructed if…
- you want predictable pricing at $20.00/M input and $40.00/M output
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 138.9x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while GPT OSS 120B is better at 2 benchmarks (GPQA, MMLU).
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 222.2x more expensive than GPT OSS 120B ($0.09/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 88.9x more expensive than GPT OSS 120B ($0.45/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 120B has 108.8B more parameters than Gemma 3n E4B Instructed, making it 1360.0% larger.
Context Window
Maximum input and output token capacity
GPT OSS 120B accepts 131,072 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3n E4B Instructed supports multimodal inputs, whereas GPT OSS 120B 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
GPT OSS 120B
License
Usage and distribution terms
Gemma 3n E4B 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.
Proprietary
Closed source
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 120B was released on 2025-08-05.
GPT OSS 120B is 1 month newer than Gemma 3n E4B Instructed.
Jun 26, 2025
11 months ago
Aug 5, 2025
10 months ago
1mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B 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 E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without GPT OSS 120B's cutoff date.
Jun 2024
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Provider Availability
Gemma 3n E4B Instructed is available from Together. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
Gemma 3n E4B Instructed
GPT OSS 120B
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemma 3n E4B Instructed vs GPT OSS 120B.