Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 21.1% higher average benchmark score. Gemini 2.0 Flash-Lite offers 794.6K more tokens in context window than GPT OSS 20B. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 20B is a language model developed by OpenAI. The model shows competitive results across 7 benchmarks. It excels particularly in MMLU (85.3%), CodeForces (83.9%), GPQA (71.5%). It supports a 262K token context window for handling large documents. The model is available through 4 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.
6 months newer
Gemini 2.0 Flash-Lite
2025-02-05
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
GPT OSS 20B
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.0 Flash-Lite
GPT OSS 20B
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
GPT OSS 20B
Gemini 2.0 Flash-Lite
GPT OSS 20B
Gemini 2.0 Flash-Lite
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval