Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 26.3% higher average benchmark score. Gemini 2.0 Flash offers 794.6K more tokens in context window than GPT OSS 20B. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. GPT OSS 20B is available on 4 providers. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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.
8 months newer
Gemini 2.0 Flash
2024-12-01
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
Gemini 2.0 Flash
GPT OSS 20B
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.0 Flash
GPT OSS 20B
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
GPT OSS 20B
Gemini 2.0 Flash
GPT OSS 20B
Gemini 2.0 Flash
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval