Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 5.5% higher average benchmark score. Gemini 2.5 Flash-Lite offers 852.0K more tokens in context window than GPT OSS 120B. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. GPT OSS 120B is available on 5 providers. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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.
1 month newer
Gemini 2.5 Flash-Lite
2025-06-17
GPT OSS 120B
OpenAI
2025-08-05
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
GPT OSS 120B
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Flash-Lite
GPT OSS 120B
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
GPT OSS 120B
Gemini 2.5 Flash-Lite
GPT OSS 120B
Gemini 2.5 Flash-Lite
GPT OSS 120B
DeepInfra
Groq
Novita
OpenAI
ZeroEval