Claude Opus 4 vs Pixtral Large

Performance benchmarks + pricing comparison — updated April 2026

Claude Opus 4

Anthropic

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

Input$15.00/M
Output$75.00/M
Context200K tokens
Best ForComplex architecture decisions, debugging hard bugs, research
Benchmark86/100

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.

ScenarioClaude Opus 4Pixtral LargeSavings
Small Script (1K lines) $3.08 $0.25 Pixtral Large saves $2.83 (92%)
Medium Feature (10K lines) $23.29 $1.90 Pixtral Large saves $21.39 (92%)
Large Project (50K lines) $116.44 $9.50 Pixtral Large saves $106.94 (92%)
Code Review (5K lines) $6.02 $0.50 Pixtral Large saves $5.52 (92%)

Verdict

Pixtral Large wins on both price and performance — $2.00/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