Model Comparison
Gemma 3 27B vs GPT OSS 20BWhich is better in 2026?
GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 1.4x cheaper per token.
Verdict: Gemma 3 27B vs GPT OSS 20B — which is better?
Gemma 3 27B (by Google) and GPT OSS 20B (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 3 27B outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (GPQA). GPT OSS 20B significantly outperforms across most benchmarks.
On price, GPT OSS 20B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Gemma 3 27B if…
- you want predictable pricing at $0.10/M input and $0.20/M output
Choose GPT OSS 20B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.4x cheaper per token
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3 27B outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (GPQA).
GPT OSS 20B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 27B ($0.10/1M tokens) is 2.0x more expensive than GPT OSS 20B ($0.05/1M tokens).
For output processing, Gemma 3 27B ($0.20/1M tokens) costs the same as GPT OSS 20B ($0.20/1M tokens).
In conclusion, Gemma 3 27B is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Gemma 3 27B has 6.1B more parameters than GPT OSS 20B, making it 29.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 131,072 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while GPT OSS 20B is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3 27B supports multimodal inputs, whereas GPT OSS 20B does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 27B
GPT OSS 20B
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, 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
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while GPT OSS 20B was released on 2025-08-05.
GPT OSS 20B is 5 months newer than Gemma 3 27B.
Mar 12, 2025
1.3 years ago
Aug 5, 2025
10 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.
Gemma 3 27B
GPT OSS 20B
Outputs Comparison
Key Takeaways
Gemma 3 27B
View detailsGPT OSS 20B
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemma 3 27B vs GPT OSS 20B.