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DeepSeek-V2.5 vs GPT OSS 120B
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 9.6% higher average benchmark score. GPT OSS 120B offers 245.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
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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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.12 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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DeepSeek-V2.5
Average Score:80.4%
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GPT OSS 120B
Average Score:90.0%(+9.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:80.4%
Providers:3
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GPT OSS 120B
Avg Score:90.0%(+9.6%)
Providers:5