GPT-3.5 Turbo vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to -9.4. GPT-3.5 Turbo is 10.7x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to -9.4, ranking #29 overall.
On price, GPT-3.5 Turbo is roughly 10.7x 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-3.5 Turbo
- cost matters — it's about 10.7x cheaper per token
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
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-3.5 Turbo · 16 for Muse Wonder
GPT-3.5 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-3.5 Turbo ($0.50/1M tokens) is 8.0x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 13.3x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder is more expensive than GPT-3.5 Turbo.*
* 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-3.5 Turbo's 16,385 tokens. Only GPT-3.5 Turbo specifies output context (4,096 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas GPT-3.5 Turbo does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 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-3.5 Turbo was released on 2023-03-21, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 43 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.6 years ago
Oct 12, 2026
-1 days ago
3.6yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Muse Wonder's cutoff date is not specified.
We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Muse Wonder's cutoff date.
Sep 2021
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Provider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Muse Wonder is available from Meta Model API.
GPT-3.5 Turbo
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs Muse Wonder.