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GPT-5.6 Terra vs Muse Wonder Full

GPT-5.6 Terra and Muse Wonder Full are closely matched at 49.4 and 52.1 on the LLM Stats Score.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-5.6 Terra and Muse Wonder Full are closely matched on the overall LLM Stats Score at 49.4 and 52.1.

In the 4 individual benchmarks reported for both models, Muse Wonder Full wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-5.6 Terra

  • you want predictable pricing at $2.00/M input and $12.00/M output

Choose Muse Wonder Full

  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
49.4
#22
52.1
#13
47.8
#23
38.4
#71
39.6
#14
41.5
#8
35.8
#17
38.5
#8
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$2.00 / M
— / M
Output price
$12.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.6 Terra
Muse Wonder Full
27.3#42
31.7#28
27.7#42
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Terra · 16 for Muse Wonder Full

4 shared

GPT-5.6 Terra outperforms in 0 benchmarks, while Muse Wonder Full is better at 4 benchmarks (Artificial Analysis, DeepSWE 1.1, GDP.pdf, HealthBench Professional).

Muse Wonder Full significantly outperforms across most benchmarks.

Tue Oct 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Terra specifies input context (1,050,000 tokens). Only GPT-5.6 Terra specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Terra
Input1,050,000 tokens
Output128,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Terra and Muse Wonder Full support multimodal inputs.

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

GPT-5.6 Terra

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-5.6 Terra

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Terra was released on 2026-07-09, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 3 months newer than GPT-5.6 Terra.

GPT-5.6 Terra

Jul 9, 2026

3 months ago

Muse Wonder Full

Oct 12, 2026

0 days ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Muse Wonder Full's cutoff date is not specified.

We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

GPT-5.6 Terra

Feb 2026

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Terra and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-5.6 Terra
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-5.6 Terra vs Muse Wonder Full.

Which is better, GPT-5.6 Terra or Muse Wonder Full?

GPT-5.6 Terra and Muse Wonder Full are closely matched on the LLM Stats Score at 49.4 and 52.1. GPT-5.6 Terra 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-5.6 Terra compare to Muse Wonder Full in benchmarks?

GPT-5.6 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%. 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-5.6 Terra and Muse Wonder Full?

GPT-5.6 Terra supports 1.1M 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-5.6 Terra and Muse Wonder Full?

Key differences include LLM Stats Score (49.4 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Terra and Muse Wonder Full?

GPT-5.6 Terra is developed by OpenAI and Muse Wonder Full is developed by Meta.