OpenAI o4-mini vs Pixtral Large

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

Pixtral Large

Mistral

Mistral's multimodal model with strong image understanding. Competitive with GPT-4o Vision.

Input$2.00/M
Output$6.00/M
Context128K tokens
Best ForImage analysis, multimodal applications, visual QA

Cost Comparison by Scenario

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

ScenarioOpenAI o4-miniPixtral LargeSavings
Small Script (1K lines) $0.17 $0.25 OpenAI o4-mini saves $0.08 (32%)
Medium Feature (10K lines) $1.27 $1.90 OpenAI o4-mini saves $0.64 (33%)
Large Project (50K lines) $6.33 $9.50 OpenAI o4-mini saves $3.17 (33%)
Code Review (5K lines) $0.30 $0.50 OpenAI o4-mini saves $0.20 (40%)

Verdict

OpenAI o4-mini wins on both price and performance — $1.10/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