GPT-4o mini vs Qwen 2.5 Coder 32B

Performance benchmarks + pricing comparison — updated April 2026

GPT-4o mini

OpenAI

Affordable small model. Fast and cost-effective for high-volume coding tasks.

Input	$0.150/M
Output	$0.600/M
Context	128K tokens
Best For	High-volume tasks, simple coding, cost-sensitive projects
Benchmark	58/100

Qwen

Qwen's code-specialized 32B model. Trained on 130+ programming languages.

Input	$0.200/M
Output	$0.400/M
Context	128K tokens
Best For	Code generation, code review, multi-language development

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

Scenario	GPT-4o mini	Qwen 2.5 Coder 32B	Savings
Small Script (1K lines)	$0.02	$0.02	Qwen 2.5 Coder 32B saves <$0.01 (22%)
Medium Feature (10K lines)	$0.18	$0.15	Qwen 2.5 Coder 32B saves $0.03 (18%)
Large Project (50K lines)	$0.92	$0.75	Qwen 2.5 Coder 32B saves $0.17 (18%)
Code Review (5K lines)	$0.05	$0.04	Qwen 2.5 Coder 32B saves <$0.01 (4%)

GPT-4o mini 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.