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Gemini 2.0 Flash Thinking vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 5.9% 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 was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
6 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GPT OSS 120B
OpenAI
2025-08-05
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%
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GPT OSS 120B
Average Score:80.1%(+5.9%)
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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:74.2%
Providers:0
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GPT OSS 120B
Avg Score:80.1%(+5.9%)
Providers:5