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Gemini 2.0 Flash Thinking vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 23.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.
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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.
6 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GPT OSS 120B
OpenAI
2025-08-05
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:24.8%
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GPT OSS 120B
Average Score:48.0%(+23.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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GPT OSS 120B
5 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:24.8%
Providers:0
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GPT OSS 120B
Avg Score:48.0%(+23.2%)
Providers:5