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Gemini 2.0 Flash-Lite vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 28.6% higher average benchmark score. Gemini 2.0 Flash-Lite offers 794.6K more tokens in context window than GPT OSS 120B. Both models have similar pricing. Gemini 2.0 Flash-Lite 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 Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
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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-Lite
2025-02-05
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash-Lite
Input:$0.07
Output:$0.30($0.17 cheaper)
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GPT OSS 120B
Input:$0.09
Output:$0.45
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:51.5%
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GPT OSS 120B
Average Score:80.1%(+28.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GPT OSS 120B
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Gemini 2.0 Flash-Lite
Avg Score:51.5%
Providers:1
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GPT OSS 120B
Avg Score:80.1%(+28.6%)
Providers:5