Gemma 3 27B vs GPT OSS 20B
GPT OSS 20B leads the LLM Stats Score 17.4 to 7.8. GPT OSS 20B is 1.7x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT OSS 20B leads the overall LLM Stats Score 17.4 to 7.8, ranking #254 overall.
In the 1 individual benchmarks reported for both models, GPT OSS 20B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 20B is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 27B
- you want predictable pricing at $0.08/M input and $0.16/M output
Choose GPT OSS 20B
- overall performance matters — it scores 17.4 and ranks #254 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.7x cheaper per token
- you want the most recent training data — it shipped Aug 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Gemma 3 27B · 7 for GPT OSS 20B
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.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3 27B ($0.08/1M tokens) is 2.7x more expensive than GPT OSS 20B ($0.03/1M tokens).
For output processing, Gemma 3 27B ($0.16/1M tokens) is 1.1x more expensive than GPT OSS 20B ($0.14/1M 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. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
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
1.7 years ago
Aug 5, 2025
1.3 years 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 DeepInfra, Novita, Fireworks, Groq, OpenAI.
Gemma 3 27B
GPT OSS 20B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and GPT OSS 20B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs GPT OSS 20B.