head-to-head

Meta: Muse Wonder vs Mistral: Mistral Large 4

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

Meta: Muse Wonder Mistral: Mistral Large 4
Vendormetamistralai
Quality Score100100
Benchmark Score90.2-
Input Price$4.00/M$0.68/M
Output Price$20.00/M$2.09/M
Context Window1,048,5761,048,576
Max Output943,718262,144
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.4-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Mistral Large 4 costs $1.20 and Muse Wonder costs $9.00, so Mistral Large 4 is about 7.5 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Muse Wonder offers audio input and video input.

Across the 20 tasks where they differ, Muse Wonder scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Mistral Large 4 on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick Muse Wonder if you need audio input, video input or the stronger all-round task scores; pick Mistral Large 4 if you need lower cost.

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?

TaskMeta: Muse WonderMistral: Mistral Large 4
SQL Generation 142 133
Code Review 148 132
Code Completion 116 131
Code Refactoring 149 136
Bug Fixing 152 136
Unit Test Generation 134 124
Code Documentation 135 131
Regex Writing 123 119
CI/CD Pipelines 130 120
Frontend Component Design 132 122
Data Analysis 137 124
CSV / Spreadsheet Cleanup 135 133
ETL Scripting 140 128
JSON Extraction 119 131
Bulk Data Labeling 114 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 149 137
Short-Form Summarization 115 123
Blog Post Writing 130 121

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

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