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Gemini 1.0 Pro vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT OSS 120B offers 221.2K more tokens in context window than Gemini 1.0 Pro. GPT OSS 120B is $1.46 cheaper per million tokens. GPT OSS 120B is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT OSS 120B
OpenAI
2025-08-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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GPT OSS 120B
Input:$0.09
Output:$0.45($1.46 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 1.0 Pro
Average Score:31.1%(+0.3%)
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GPT OSS 120B
Average Score:30.9%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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GPT OSS 120B
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Gemini 1.0 Pro
Avg Score:31.1%(+0.3%)
Providers:1
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GPT OSS 120B
Avg Score:30.9%
Providers:5