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GPT-4.1 nano vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 1.6.

OpenAI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 1.6, ranking #13 overall.

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

Choose GPT-4.1 nano

  • you want predictable pricing at $0.10/M input and $0.40/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-4.1 nano
OpenAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
1.6
#336
52.1
#13
Reasoning
1.9
#324
38.4
#71
Coding
-11.9
#281
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,047,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-4.1 nano
Muse Wonder Full
Vision
-1.9#201
31.7#28
Multimodal
0.8#163
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for GPT-4.1 nano · 16 for Muse Wonder Full

No common benchmarks found

GPT-4.1 nano 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-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 nano and Muse Wonder Full support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1 nano

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-4.1 nano

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 18 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.5 years ago

Muse Wonder Full

Oct 12, 2026

2 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Muse Wonder Full's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

GPT-4.1 nano

May 2024

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 nano and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-4.1 nano vs Muse Wonder Full.

Which is better, GPT-4.1 nano or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 1.6. GPT-4.1 nano 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-4.1 nano compare to Muse Wonder Full in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. 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-4.1 nano and Muse Wonder Full?

GPT-4.1 nano supports 1.0M 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-4.1 nano and Muse Wonder Full?

Key differences include LLM Stats Score (1.6 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 nano and Muse Wonder Full?

GPT-4.1 nano is developed by OpenAI and Muse Wonder Full is developed by Meta.

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