Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 39.3% higher average benchmark score. Both models have similar pricing. Gemma 3 12B supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, Gemma 3 12B is the stronger choice for coding tasks.
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
GPT OSS 20B is a language model developed by OpenAI. The model shows competitive results across 7 benchmarks. It excels particularly in MMLU (85.3%), CodeForces (83.9%), GPQA (71.5%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.
4 months newer
Gemma 3 12B
2025-03-12
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
Gemma 3 12B
GPT OSS 20B
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 12B
GPT OSS 20B
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
GPT OSS 20B
Gemma 3 12B
GPT OSS 20B
Gemma 3 12B
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval