Meta's Muse Spark 1.1 Beats GLM-5.2 in Coding
Curated by the Inblix editorial team
Meta just dropped an updated version of its Muse Spark model, and it’s making waves in the AI coding arena. Muse Spark 1.1 now outpaces GLM-5.2 on coding benchmarks, scoring 71.3 on the Coding Index versus GLM’s 68.8. It also ties with top contenders like GPT-5.4 on the Intelligence Index at 51. The model saw an impressive eight-point jump in just three months, driven by improvements in coding and agent-based tasks. Perhaps more importantly, Muse Spark 1.1 is cheaper: $0.26 per task compared to $0.37 for GLM-5.2 and $0.89 for GPT-5.4. Meta also slashed the hallucination rate from 73% to 38%—the model now often refuses to answer rather than guessing wrong—and quadrupled the context window to a million tokens. For now, it’s only available via Meta’s own API. Why it matters: This shows how rapidly open-model ecosystems are closing the gap with proprietary leaders, potentially reshaping the cost-performance calculus for developers.
💡 Key Takeaways
- Muse Spark 1.1 outperforms GLM-5.2 on coding benchmarks and ties with GPT-5.4 on overall intelligence scores.
- The model costs $0.26 per task, significantly less than competitors like GLM-5.2 and GPT-5.4.
- Hallucination rates dropped dramatically from 73% to 38%, with the model now more likely to decline answering than to provide false information.
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