head-to-head

Meta: Muse Wonder vs OpenAI: GPT-6.1 Sol (batch)

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

Meta: Muse Wonder OpenAI: GPT-6.1 Sol (batch)
Vendormetaopenai
Quality Score100100
Benchmark Score90.289.2
Input Price$4.00/M$1.00/M
Output Price$20.00/M$5.00/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index86.485.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6.1 Sol (batch) costs $2.25 and Muse Wonder costs $9.00, so GPT-6.1 Sol (batch) is about 4.0 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.

Only Muse Wonder offers audio input and video input.

On our blended benchmark score Muse Wonder leads 90.2 to 89.2.

Across the 18 tasks where they differ, Muse Wonder scores higher on 8 (Code Review, Code Refactoring, Bug Fixing and others), GPT-6.1 Sol (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).

Muse Wonder was released in October 2026 and GPT-6.1 Sol (batch) in September 2026.

Pick Muse Wonder if you need audio input, video input or benchmark performance; pick GPT-6.1 Sol (batch) 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 WonderOpenAI: GPT-6.1 Sol (batch)
SQL Generation 142 143
Code Review 148 148
Code Completion 116 120
Code Refactoring 149 149
Bug Fixing 152 152
Unit Test Generation 134 134
Code Documentation 135 138
Regex Writing 123 127
CI/CD Pipelines 130 130
Frontend Component Design 132 132
Data Analysis 137 136
CSV / Spreadsheet Cleanup 135 136
ETL Scripting 140 140
JSON Extraction 119 122
Bulk Data Labeling 114 120
Long-Document Summarization 149 151
Short-Form Summarization 115 119
Blog Post Writing 130 131

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

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