Compare GPT 6 Astra from OpenAI and Muse Wonder from Meta on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT 6 Astra
Muse WonderGPT-6 Astra is OpenAI's newest and most intelligent model, with industry-leading performance in computer operations, web browsing, software engineering, scientific research, and professional work. It excels at executing multi-step workflows across code, browsers, and various professional software. Astra can achieve better results with significantly fewer output tokens, making its estimated API cost per task lower.
Muse Wonder is Meta’s model for complex coding, long-running agents, and computer use. With a 1M-token context window, it plans multi-step tasks, delegates to sub-agents, and combines Active Memory with Active Focus to retain relevant context and sustain progress on challenging tasks.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Muse Wonder: $22/M output tokens; GPT 6 Astra: $50/M. Use the cost calculator above to estimate your own workload.
Muse Wonder: 3.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 6 Astra accepts 1,050,000 and Muse Wonder accepts 1,048,576 input tokens.
Muse Wonder at 83.1 tok/s and GPT 6 Astra at 30.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 6 Astra accepts text and image input and supports tool calling, thinking and structured outputs; Muse Wonder accepts text, image, video, audio and PDF input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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