GPT-4 Turbo vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to 9.0. Muse Wonder is 1.9x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 9.0, ranking #29 overall.
On price, Muse Wonder is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Muse Wonder
- overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for GPT-4 Turbo · 16 for Muse Wonder
GPT-4 Turbo and Muse Wonderdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 2.5x more expensive than Muse Wonder ($4.00/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 1.5x more expensive than Muse Wonder ($20.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Muse Wonder.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Wonder accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Only GPT-4 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas GPT-4 Turbo does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Muse Wonder
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 31 months newer than GPT-4 Turbo.
Apr 9, 2024
2.5 years ago
Oct 12, 2026
0 days ago
2.5yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Muse Wonder's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Muse Wonder's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Muse Wonder is available from Meta Model API.
GPT-4 Turbo
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Muse Wonder.