Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 7.1% higher average benchmark score. Gemini 2.5 Pro offers 814.7K more tokens in context window than o1 mini. o1 mini is $5.75 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
8 months newer

o1 mini
OpenAI
2024-09-12

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
o1 mini
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
o1 mini
Performance comparison across key benchmark categories
Gemini 2.5 Pro
o1 mini
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
o1 mini
Gemini 2.5 Pro
o1 mini
Gemini 2.5 Pro
o1 mini
OpenAI