Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 35.6% higher average benchmark score. Gemini 3 Pro offers 876.1K more tokens in context window than GPT-OSS-120B. Gemini 3 Pro is $Infinity cheaper per million tokens. Gemini 3 Pro supports multimodal inputs. Overall, Gemini 3 Pro is the stronger choice for coding tasks.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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.
3 months newer

GPT-OSS-120B
OpenAI
2025-08

Gemini 3 Pro
Google DeepMind
2025-11-18
Cost per million tokens (USD)
Gemini 3 Pro
GPT-OSS-120B
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 3 Pro
GPT-OSS-120B
Performance comparison across key benchmark categories
Gemini 3 Pro
GPT-OSS-120B
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
GPT-OSS-120B
Gemini 3 Pro
GPT-OSS-120B
Gemini 3 Pro
GPT-OSS-120B
Hugging Face