+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3 12B vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
Gemma 3 12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Google DeepMind
Gemma 3 12B is a 12-billion-parameter open-weight model from Google DeepMind, released in March 2025 as part of the Gemma 3 series designed to bring multimodal reasoning to accessible hardware. The model supports both text and image inputs across a 128K token context window, extending the vision capabilities that defined the Gemma 3 generation compared to earlier text-only Gemma releases. It became widely adopted for domain-specific fine-tuning in research and enterprise settings where full multimodal capability was needed without the infrastructure demands of larger frontier models.
+
+
+
+
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
4 months newer
Gemma 3 12B
Google DeepMind
2025-03-12
GPT-OSS-120B
OpenAI
2025-08
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 3 12B
0 providers
+
+
+
+
GPT-OSS-120B
1 providers
Hugging Face
+
+
+
+
Gemma 3 12B
Avg Score:0.0%
Providers:0
+
+
+
+
GPT-OSS-120B
Avg Score:0.0%
Providers:1