Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 32.5% higher average benchmark score. Gemini 2.5 Pro offers 852.0K more tokens in context window than GPT OSS 120B. GPT OSS 120B is $10.71 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. GPT OSS 120B is available on 5 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
OpenAI
GPT OSS 120B is a language model developed by OpenAI. It achieves strong performance with an average score of 61.7% across 7 benchmarks. It excels particularly in MMLU (90.0%), CodeForces (87.4%), GPQA (80.1%). It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.
2 months newer
Gemini 2.5 Pro
2025-05-20
GPT OSS 120B
OpenAI
2025-08-05
Cost per million tokens (USD)
Gemini 2.5 Pro
GPT OSS 120B
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.5 Pro
GPT OSS 120B
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
GPT OSS 120B
Gemini 2.5 Pro
GPT OSS 120B
GPT OSS 120B
DeepInfra
Groq
Novita
OpenAI
ZeroEval