Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 18.8% higher average benchmark score. Gemini 2.5 Pro offers 708.2K more tokens in context window than o4 mini. o4 mini is $5.75 cheaper per million tokens. 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 o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
1 month newer

o4 mini
OpenAI
2025-04-16

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
o4 mini
Context window and performance specifications
Average performance across 4 common benchmarks
Gemini 2.5 Pro
o4 mini
Performance comparison across key benchmark categories
Gemini 2.5 Pro
o4 mini
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
o4 mini
Gemini 2.5 Pro
o4 mini
Gemini 2.5 Pro
o4 mini
OpenAI