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.

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Gemini 1.0 Pro
2024-02-15

DeepSeek-V3.1
DeepSeek
2025-01-10
11 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3.1

Gemini 1.0 Pro
Performance Metrics
Context window and performance specifications

DeepSeek-V3.1

Gemini 1.0 Pro
Performance comparison across key benchmark categories

DeepSeek-V3.1

Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.1
DeepInfra
Novita

Gemini 1.0 Pro

DeepSeek-V3.1

Gemini 1.0 Pro