head-to-head

Mistral: Mistral Large 4 vs OpenAI: GPT-6 Luna (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.

Mistral: Mistral Large 4 OpenAI: GPT-6 Luna (batch)
Vendormistralaiopenai
Quality Score100100
Benchmark Score-63.8
Input Price$0.68/M$0.05/M
Output Price$2.09/M$0.25/M
Context Window1,048,5761,050,000
Max Output262,144128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-62.9

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Mistral Large 4 costs $1.20, so GPT-6 Luna (batch) is about 10.7 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Across the 20 tasks where they differ, GPT-6 Luna (batch) on 20 (SQL Generation, Code Review, Code Completion and others).

Mistral Large 4 was released in October 2026 and GPT-6 Luna (batch) in September 2026.

Pick GPT-6 Luna (batch) if you need lower cost or the stronger all-round task scores.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskMistral: Mistral Large 4OpenAI: GPT-6 Luna (batch)
SQL Generation 133 141
Code Review 132 144
Code Completion 131 133
Code Refactoring 136 146
Bug Fixing 136 148
Unit Test Generation 124 131
Code Documentation 131 137
Regex Writing 119 126
CI/CD Pipelines 120 127
Frontend Component Design 122 129
Data Analysis 124 133
CSV / Spreadsheet Cleanup 133 136
ETL Scripting 128 136
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 137 148
Short-Form Summarization 123 127
Blog Post Writing 121 129

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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