Muse Spark 1.3 vs Claude Opus 5: Coding Benchmarks & Pricing

Meta’s Muse Spark 1.3 is presented as a long-context reasoning model for agentic workflows, coding, tool use, and multimodal inputs, offering a 1,048,576-token context window and comparatively low API pricing of $1.25 per million input tokens and $4.25 per million output tokens. In Meta-reported evaluations using its highest reasoning setting, the model slightly exceeds Claude Opus 5 on DeepSWE software-engineering tasks and SWE-Atlas codebase understanding, while tying GPT-5.6 Sol on Terminal-Bench terminal-agent tasks; it also posts near-98% results on long-context retrieval tests. However, the comparisons use varied evaluation sources and configurations, so they do not establish universal superiority in production settings. Claude Opus 5 remains ahead on several professional-work and computer-use benchmarks, while GPT-5.6 Sol leads reported web-research and instruction-following measures. The discussion recommends selecting models according to workload requirements and testing them with identical prompts, repositories, tools, tests, and success criteria while tracking task completion, cost, latency, token use, tool calls, and required human intervention.

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