OpenAI o4-mini vs Qwen 2.5 Coder 32B

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o4-mini

OpenAI

Updated mini reasoning model. Similar pricing to o3-mini with updated capabilities.

Input$1.10/M
Output$4.40/M
Context200K tokens
Best ForGeneral reasoning, coding tasks
Benchmark72/100

Qwen 2.5 Coder 32B

Qwen

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

Input$0.200/M
Output$0.400/M
Context128K tokens
Best ForCode generation, code review, multi-language development

Cost Comparison by Scenario

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

ScenarioOpenAI o4-miniQwen 2.5 Coder 32BSavings
Small Script (1K lines) $0.17 $0.02 Qwen 2.5 Coder 32B saves $0.15 (89%)
Medium Feature (10K lines) $1.27 $0.15 Qwen 2.5 Coder 32B saves $1.12 (88%)
Large Project (50K lines) $6.33 $0.75 Qwen 2.5 Coder 32B saves $5.58 (88%)
Code Review (5K lines) $0.30 $0.04 Qwen 2.5 Coder 32B saves $0.26 (85%)

Verdict

Qwen 2.5 Coder 32B wins on both price and performance — $0.200/M input with a benchmark score of N/A/100.

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

Compare with Other Models