Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 2.6% higher average benchmark score. Gemini 2.5 Pro offers 876.1K more tokens in context window than GPT-OSS-120B. Gemini 2.5 Pro is $Infinity cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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.
2 months newer

Gemini 2.5 Pro
Google DeepMind
2025-05-20

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
Gemini 2.5 Pro
GPT-OSS-120B
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 2.5 Pro
GPT-OSS-120B
Performance comparison across key benchmark categories
Gemini 2.5 Pro
GPT-OSS-120B
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
GPT-OSS-120B
Gemini 2.5 Pro
GPT-OSS-120B
Gemini 2.5 Pro
GPT-OSS-120B
Hugging Face