GPT-6 Astra vs Muse Spark 1.3 (xhigh)
A direct, empirical evaluation of GPT-6 Astra (OpenAI) against Muse Spark 1.3 (xhigh) (Meta AI).
GPT-6 Astra
Developed by OpenAI · Proprietary Frontier parameters
Complex multi-step engineering, formal math proofs, autonomous computer/browser navigation, and CAD synthesis.
Muse Spark 1.3 (xhigh)
Developed by Meta AI · Proprietary Multimodal parameters
Autonomous codebase refactoring, terminal execution, million-token long context retrieval, and agentic workflows.
| Metric | GPT-6 Astra | Muse Spark 1.3 (xhigh) |
|---|---|---|
| SWE-bench Verified | 79.4% | 75.4% |
| MMLU-Pro | 91.2% | 88.4% |
| MATH-500 | 98.6% | 94.8% |
| Context Window | 1,050,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $10.00 | $1.25 |
| Output Pricing (per 1M) | $50.00 | $5.00 |
Architectural & Practical Deployment Analysis
Evaluating GPT-6 Astra (OpenAI) alongside Muse Spark 1.3 (xhigh) (Meta AI) highlights key technical trade-offs across neural parameter scale and compute efficiency. GPT-6 Astra executes across Proprietary Frontier total parameters with Dynamic Recurrent MoE active per token, whereas Muse Spark 1.3 (xhigh) operates on Proprietary Multimodal parameters with Dense Reasoner active per token.
On SWE-bench Verified software engineering tasks, GPT-6 Astra achieves 79.4% autonomous resolution rate, compared to 75.4% for Muse Spark 1.3 (xhigh). On complex reasoning benchmarks, GPT-6 Astra posts 91.2% on MMLU-Pro and 98.6% on MATH-500, against 88.4% and 94.8% respectively for Muse Spark 1.3 (xhigh).
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $220.00 on GPT-6 Astra versus $23.75 on Muse Spark 1.3 (xhigh).
Recommendation: Deploy GPT-6 Astra when your infrastructure prioritizes complex multi-step engineering, formal math proofs, autonomous computer/browser navigation, and cad synthesis.. Deploy Muse Spark 1.3 (xhigh) when workload requirements favor autonomous codebase refactoring, terminal execution, million-token long context retrieval, and agentic workflows..