Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

GPT OSS 20B
OpenAI
GPT OSS 20B is a language model developed by OpenAI. The model shows competitive results across 7 benchmarks. It excels particularly in MMLU (85.3%), CodeForces (83.9%), GPQA (71.5%). It supports a 262K token context window for handling large documents. The model is available through 4 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.

DeepSeek-V3.1
DeepSeek
2025-01-10

GPT OSS 20B
OpenAI
2025-08-05
6 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

GPT OSS 20B
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

GPT OSS 20B
Average performance across 2 common benchmarks

DeepSeek-V3.1

GPT OSS 20B
Performance comparison across key benchmark categories

DeepSeek-V3.1

GPT OSS 20B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

GPT OSS 20B
ZeroEval
OpenAI
Groq
Novita

DeepSeek-V3.1

GPT OSS 20B