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GPT-6 Astra vs Muse Wonder Full

GPT-6 Astra leads the LLM Stats Score 58.5 to 52.1.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 58.5 to 52.1, ranking #3 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 58.5 and ranks #3 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

Choose Muse Wonder Full

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
58.5
#3
52.1
#13
Reasoning
57.3
#2
38.4
#71
Coding
47.1
#3
41.5
#8
Agents
45.0
#2
38.5
#8
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6 Astra
Muse Wonder Full
Vision
40.2#4
31.7#28
Multimodal
37.5#5
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 16 for Muse Wonder Full

2 shared

GPT-6 Astra outperforms in 1 benchmarks (HealthBench Professional), while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Both models are evenly matched across the 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-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
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-6 Astra and Muse Wonder Full support multimodal inputs.

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

GPT-6 Astra

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-6 Astra

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 1 month newer than GPT-6 Astra.

GPT-6 Astra

Sep 4, 2026

1 months ago

Muse Wonder Full

Oct 12, 2026

0 days ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Muse Wonder Full's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

GPT-6 Astra

Apr 2026

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Astra and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Muse Wonder Full.

Which is better, GPT-6 Astra or Muse Wonder Full?

GPT-6 Astra leads the LLM Stats Score 58.5 to 52.1. GPT-6 Astra 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-6 Astra compare to Muse Wonder Full in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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-6 Astra and Muse Wonder Full?

GPT-6 Astra 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-6 Astra and Muse Wonder Full?

Key differences include LLM Stats Score (58.5 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Muse Wonder Full?

GPT-6 Astra is developed by OpenAI and Muse Wonder Full is developed by Meta.

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