head-to-head

Mistral: Mistral Large 4 vs OpenAI: GPT-6.1 Sol (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-09.

Mistral: Mistral Large 4 OpenAI: GPT-6.1 Sol (batch)
Vendormistralaiopenai
Quality Score100100
Benchmark Score-89.2
Input Price$0.68/M$1.00/M
Output Price$2.09/M$5.00/M
Context Window1,048,5761,050,000
Max Output262,144128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-85.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Mistral Large 4 costs $1.20 and GPT-6.1 Sol (batch) costs $2.25, so Mistral Large 4 is about 1.9 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, Mistral Large 4 scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-6.1 Sol (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).

Mistral Large 4 was released in October 2026 and GPT-6.1 Sol (batch) in September 2026.

Pick Mistral Large 4 if you need lower cost; pick GPT-6.1 Sol (batch) if you need 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-6.1 Sol (batch)
SQL Generation 133 143
Code Review 132 148
Code Completion 131 120
Code Refactoring 136 149
Bug Fixing 136 152
Unit Test Generation 124 134
Code Documentation 131 138
Regex Writing 119 127
CI/CD Pipelines 120 130
Frontend Component Design 122 132
Data Analysis 124 136
CSV / Spreadsheet Cleanup 133 136
ETL Scripting 128 140
JSON Extraction 131 122
Bulk Data Labeling 129 120
OCR / Document Parsing 131 135
Table Extraction from PDFs 131 135
Long-Document Summarization 137 151
Short-Form Summarization 123 119
Blog Post Writing 121 131

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

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