+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs GPT-OSS-20B
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-20B. DeepSeek-V3.1 is $Infinity cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
16 days newer
GPT-OSS-20B
OpenAI
2025-08-05
DeepSeek-V3.1
DeepSeek
2025-08-21
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.10($Infinity cheaper)
+
+
+
+
GPT-OSS-20B
Input:$Infinity
Output:$Infinity
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:1.3%
+
+
+
+
GPT-OSS-20B
Average Score:1.3%
Performance comparison across key benchmark categories
+
+
+
+
DeepSeek-V3.1
Agents1.3%
+
+
+
+
GPT-OSS-20B
Agents1.3%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
1 providers
DeepSeek
+
+
+
+
GPT-OSS-20B
1 providers
+
+
+
+
DeepSeek-V3.1
Avg Score:1.3%
Providers:1
+
+
+
+
GPT-OSS-20B
Avg Score:1.3%
Providers:1