GLM-4-Plus vs O3 Mini

Performance benchmarks + pricing comparison — updated April 2026

GLM-4-Plus

Zhipu AI

Zhipu AI's balanced model. Strong Chinese language understanding with competitive coding ability.

Input	$0.700/M
Output	$0.700/M
Context	128K tokens
Best For	Chinese applications, code generation, function calling

OpenAI

OpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.

Input	$1.10/M
Output	$4.40/M
Context	200K tokens
Best For	Math, science, coding tasks requiring deep reasoning
Benchmark	80/100

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

Scenario	GLM-4-Plus	O3 Mini	Savings
Small Script (1K lines)	$0.05	$0.17	GLM-4-Plus saves $0.13 (73%)
Medium Feature (10K lines)	$0.38	$1.27	GLM-4-Plus saves $0.88 (70%)
Large Project (50K lines)	$1.92	$6.33	GLM-4-Plus saves $4.40 (70%)
Code Review (5K lines)	$0.14	$0.30	GLM-4-Plus saves $0.16 (54%)

GLM-4-Plus wins on both price and performance — $0.700/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.