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Gemini 2.5 Pro vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro offers 852.0K more tokens in context window than GPT OSS 120B. GPT OSS 120B is $10.71 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. GPT OSS 120B is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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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.
2 months newer
Gemini 2.5 Pro
2025-05-20
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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GPT OSS 120B
Input:$0.09
Output:$0.45($10.71 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:50.4%(+0.8%)
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GPT OSS 120B
Average Score:49.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:50.4%(+0.8%)
Providers:2
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GPT OSS 120B
Avg Score:49.6%
Providers:5