+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs GPT-5 Mini
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 296.8K more tokens in context window than DeepSeek-V3.1. DeepSeek-V3.1 is $23.63 cheaper per million tokens. GPT-5 Mini supports multimodal inputs. 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-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
20 days newer
GPT-5 Mini
OpenAI
2025-08
DeepSeek-V3.1
DeepSeek
2025-08-21
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.10($23.63 cheaper)
+
+
+
+
GPT-5 Mini
Input:$5.00
Output:$20.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
1 providers
DeepSeek
+
+
+
+
GPT-5 Mini
1 providers
+
+
+
+
DeepSeek-V3.1
Avg Score:0.0%
Providers:1
+
+
+
+
GPT-5 Mini
Avg Score:0.0%
Providers:1