# Meta's Muse Spark 1.1 outperforms GLM-5.2 in coding and costs slightly less

> Source: <https://the-decoder.com/metas-muse-spark-1-1-outperforms-glm-5-2-in-coding-and-costs-slightly-less/>
> Published: 2026-07-11 08:28:12+00:00

# Meta's Muse Spark 1.1 outperforms GLM-5.2 in coding and costs slightly less

**Meta's new Muse Spark 1.1 model edges ahead of GLM 5.2 in coding while coming in at a lower price point.** According to [Artificial Analysis](https://x.com/ArtificialAnlys/status/2075677416295739660), it scores 51 on the Intelligence Index, tying with GLM 5.2, GPT-5.4, and GPT-5.6 Luna. In just three months, the model gained eight points, mostly in coding and agent-based knowledge work. On [the Coding Index](https://x.com/ArtificialAnlys/status/2075677419495940328), it scores 71.3, ahead of [GLM 5.2 (68.8)](https://the-decoder.com/zhipu-ais-glm-5-2-closes-in-on-closed-source-leaders-in-coding-marathons/) and barely behind [GPT-5.6 Luna](https://the-decoder.com/openais-claude-mythos-competitor-gpt-5-6-sol-launches-under-government-controlled-access-it-calls-unsustainable/) (71.4). The top spots belong to GPT-5.6 Sol (77.4) and Terra (76.7), followed by Claude Fable 5 (76.5). As always, benchmark scores don't always match real-world performance.

Muse Spark 1.1 costs an estimated $0.26 per task, compared to $0.37 for GLM-5.2 and $0.89 for GPT-5.4, while using only 94 million output tokens (GLM-5.2 uses 141 million). The hallucination rate dropped from 73 to 38 percent: the model now more often declines to answer rather than giving wrong ones. Meta also quadrupled the context window to one million tokens. At launch, [Muse Spark 1.1 is available only through Meta's own API](https://the-decoder.com/metas-muse-spark-1-1-api-pricing-squeezes-openai-and-anthropic-as-the-ai-price-war-heats-up/).

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[Artificial Analysis via X](https://x.com/ArtificialAnlys/status/2075677416295739660)