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DeepSeek-V3.1 vs GPT-OSS-120B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3.1 offers 3.9K more tokens in context window than GPT-OSS-120B. DeepSeek-V3.1 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1, released by DeepSeek in August 2025, is a hybrid large language model with 671 billion total parameters (37 billion active) that unifies the capabilities of DeepSeek-V3 and DeepSeek-R1 in a single model. It features a 128K token context window and supports both direct generation and extended reasoning modes selectable via the chat template. DeepSeek-V3.1 targets general-purpose tasks, coding, and complex reasoning under an open MIT license.
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OpenAI
GPT-OSS-120B, released by OpenAI in August 2025, is an open-weight large language model with 120 billion parameters distributed under the Apache 2.0 license. It represents OpenAI's entry into the open-source model space, enabling developers to self-host and fine-tune a GPT-5-generation-class model. GPT-OSS-120B targets research applications, on-premises deployments, and custom fine-tuning workflows requiring a large open-weight base model.
20 days newer
GPT-OSS-120B
OpenAI
2025-08
DeepSeek-V3.1
DeepSeek
2025-08-21
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.10($Infinity cheaper)
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GPT-OSS-120B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.1
Average Score:1.3%
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GPT-OSS-120B
Average Score:1.6%(+0.3%)
Performance comparison across key benchmark categories
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DeepSeek-V3.1
Agents1.3%
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GPT-OSS-120B
Agents1.6%(+0.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
1 providers
DeepSeek
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GPT-OSS-120B
1 providers
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DeepSeek-V3.1
Avg Score:1.3%
Providers:1
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GPT-OSS-120B
Avg Score:1.6%(+0.3%)
Providers:1