OpenAI o1-mini vs DeepSeek Jiuge

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o1-mini

OpenAI

Cost-effective reasoning model. Good for coding tasks that require logical reasoning.

Input	$1.10/M
Output	$4.40/M
Context	128K tokens
Best For	Coding logic, debugging, algorithm design
Benchmark	70/100

DeepSeek

Ultra-budget DeepSeek model for high-volume tasks. Competitive with Gemini Flash pricing.

Input	$0.150/M
Output	$0.600/M
Context	128K tokens
Best For	High-volume tasks, batch processing, cost-optimized pipelines

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	OpenAI o1-mini	DeepSeek Jiuge	Savings
Small Script (1K lines)	$0.17	$0.02	DeepSeek Jiuge saves $0.15 (86%)
Medium Feature (10K lines)	$1.27	$0.17	DeepSeek Jiuge saves $1.09 (86%)
Large Project (50K lines)	$6.33	$0.86	DeepSeek Jiuge saves $5.46 (86%)
Code Review (5K lines)	$0.30	$0.04	DeepSeek Jiuge saves $0.26 (86%)

DeepSeek Jiuge wins on both price and performance — $0.150/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.