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GPT-3.5 Turbo vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to -9.4.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to -9.4, ranking #13 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-3.5 Turbo
OpenAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
-9.4
#380
52.1
#13
Reasoning
-8.7
#373
38.4
#71
Coding
-4.5
#273
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-3.5 Turbo
Muse Wonder Full
Vision
-16.2#221
31.7#28
Multimodal
-14.4#182
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 16 for Muse Wonder Full

No common benchmarks found

GPT-3.5 Turbo and Muse Wonder Fulldon'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

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-3.5 Turbo

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 43 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.6 years ago

Muse Wonder Full

Oct 12, 2026

0 days ago

3.6yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Muse Wonder Full'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 Full's cutoff date.

GPT-3.5 Turbo

Sep 2021

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Muse Wonder Full.

Which is better, GPT-3.5 Turbo or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to -9.4. GPT-3.5 Turbo is made by OpenAI and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-3.5 Turbo compare to Muse Wonder Full in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for GPT-3.5 Turbo and Muse Wonder Full?

GPT-3.5 Turbo supports 16K tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-3.5 Turbo and Muse Wonder Full?

Key differences include LLM Stats Score (-9.4 vs 52.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Muse Wonder Full?

GPT-3.5 Turbo is developed by OpenAI and Muse Wonder Full is developed by Meta.

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