Model Comparison
GPT OSS 120B vs Gemma 3 27BWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. Gemma 3 27B is 1.4x cheaper per token.
Verdict: GPT OSS 120B vs Gemma 3 27B — which is better?
GPT OSS 120B (by OpenAI) and Gemma 3 27B (by Google) 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.
GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Gemma 3 27B is better at 0 benchmarks. GPT OSS 120B significantly outperforms across most benchmarks.
On price, Gemma 3 27B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Aug 2025
Choose Gemma 3 27B if…
- cost matters — it's about 1.4x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Gemma 3 27B is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B ($0.09/1M tokens) is 1.1x cheaper than Gemma 3 27B ($0.10/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.3x more expensive than Gemma 3 27B ($0.20/1M tokens).
In conclusion, GPT OSS 120B is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 120B has 89.8B more parameters than Gemma 3 27B, making it 332.6% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 27B supports multimodal inputs, whereas GPT OSS 120B does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B
Gemma 3 27B
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while Gemma 3 27B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while Gemma 3 27B was released on 2025-03-12.
GPT OSS 120B is 5 months newer than Gemma 3 27B.
Aug 5, 2025
10 months ago
4mo newerMar 12, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Gemma 3 27B is available from DeepInfra, Novita.
GPT OSS 120B
Gemma 3 27B
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Gemma 3 27B
View detailsDetailed Comparison
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FAQ
Common questions about GPT OSS 120B vs Gemma 3 27B.