Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Flash offers 876.1K more tokens in context window than GPT-OSS-120B. Gemini 2.5 Flash is $Infinity cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Flash, released by Google in June 2025, is a large language model from the Gemini 2.5 family optimized for high-throughput, cost-efficient deployments with multimodal reasoning. It features a 1M token context window, hybrid thinking control, and native support for text, image, video, and audio input. Gemini 2.5 Flash targets latency-sensitive applications, document analysis, and high-volume API workloads that benefit from combined reasoning and generation in a single model.
OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
1 month newer

Gemini 2.5 Flash
Google DeepMind
2025-06-17

GPT-OSS-120B
OpenAI
2025-08
Cost per million tokens (USD)
Gemini 2.5 Flash
GPT-OSS-120B
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 2.5 Flash
GPT-OSS-120B
Performance comparison across key benchmark categories
Gemini 2.5 Flash
GPT-OSS-120B
Available providers and their performance metrics
Gemini 2.5 Flash
Google Cloud Vertex AI
GPT-OSS-120B
Gemini 2.5 Flash
GPT-OSS-120B
Gemini 2.5 Flash
GPT-OSS-120B
Hugging Face