GPT-6 Astra vs Muse Wonder
GPT-6 Astra leads the LLM Stats Score 58.5 to 47.9. Muse Wonder is 2.5x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 58.5 to 47.9, ranking #3 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Muse Wonder is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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-6 Astra
- overall performance matters — it scores 58.5 and ranks #3 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
Choose Muse Wonder
- cost matters — it's about 2.5x cheaper per token
- 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
22 reported for GPT-6 Astra · 16 for Muse Wonder
GPT-6 Astra outperforms in 1 benchmarks (HealthBench Professional), while Muse Wonder is better at 1 benchmark (DeepSWE 1.1).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 2.5x more expensive than Muse Wonder ($4.00/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 2.5x more expensive than Muse Wonder ($20.00/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Muse Wonder.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Muse Wonder's 1,048,576 tokens. Only GPT-6 Astra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Muse Wonder support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
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-6 Astra was released on 2026-09-04, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 1 month newer than GPT-6 Astra.
Sep 4, 2026
1 months ago
Oct 12, 2026
1 days ago
1mo newerKnowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Muse Wonder'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's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Muse Wonder is available from Meta Model API.
GPT-6 Astra
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Muse Wonder.