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Muse Spark 1.3 vs GLM-5.3
Muse Spark 1.3 scores higher than GLM-5.3 on all 6 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Muse Spark 1.3 is at 81.4 and GLM-5.3 at 42.4 (out of 100).
Scores as published by each board; table composed September 25, 2026.
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Leaderboard by leaderboard
| Board | Muse Spark 1.3 | GLM-5.3 | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,658.2 | 1,621.8 | Muse Spark 1.3 |
| LiveBench global average (0-100) | 81.6 | 76.1 | Muse Spark 1.3 |
| SimpleBench AVG@5 % (private set) | 81.8 | 66.2 | Muse Spark 1.3 |
| LLM Stats LLM Stats Score · composite (0-100), their rendered top 15 | 53.8 | 52.1 | Muse Spark 1.3 |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 64.5 | 57 | Muse Spark 1.3 |
| Artificial Analysis intelligence index · measured runs only | 48.1 | 44.8 | Muse Spark 1.3 |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
Muse Spark 1.3 at a glance
- Developer
- Meta
- Status
- Live since September 2, 2026
- API price
- $1.25 input / $4.25 output per 1M tokens · Meta, muse-spark-1.3
- Context window
- 1.05M tokens
Live — Sep 2 · $1.25/$4.25 per 1M and 1M ctx, identical to 1.2 · Meta: ~20% fewer tool calls, ~25% fewer tokens vs 1.2 · open weights on the roadmap, undated.
Muse Spark 1.3 is out — same price as 1.2, and the radar called it in 61 seconds
2026-09-03 · Meta released Muse Spark 1.3 today. Its own words: "We're excited to release Muse Spark 1.3, which delivers improved performance across agentic and coding tasks." The numbers Meta gives are efficiency, not capability: ~20% fewer tool calls and ~25% fewer tokens than 1.2 on coding work, fewer interaction turns, less…
GLM-5.3 at a glance
- Developer
- Zhipu AI
- Status
- Live since August 14, 2026
- API price
- $1.40 input / $4.40 output per 1M tokens · Z.AI, glm-5.3
- Context window
- 1M tokens
Live - same 743B base as 5.2, every gain from post-training · tops CyberGym · open weights on Hugging Face (zai-org/GLM-5.3, 141 safetensors files, public when we read it Sep 25; repo created Aug 25).
GLM-5.3 tops CyberGym and trails the frontier on exploitation — and we missed it because the sweep had no eyes on models.dev
2026-08-14 · Z.ai shipped GLM-5.3 today, and we did not catch it. The entry was armed and the pattern was right — the sweep simply had no source that carried the id. That is now fixed, and the fix is the more useful half of this post.
Muse Spark 1.3 vs GLM-5.3: quick answers
Which is better, Muse Spark 1.3 or GLM-5.3?
It depends on what you measure. Muse Spark 1.3 scores higher than GLM-5.3 on all 6 public leaderboards that rate both. Muse Spark 1.3's widest lead is on SimpleBench. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Muse Spark 1.3 is at 81.4 and GLM-5.3 at 42.4 (out of 100).
Which is newer, Muse Spark 1.3 or GLM-5.3?
Muse Spark 1.3. It went live on September 2, 2026, 19 days after GLM-5.3 (August 14, 2026).
Which is cheaper, Muse Spark 1.3 or GLM-5.3?
Muse Spark 1.3 is cheaper on both input and output. On each vendor's own API, Muse Spark 1.3 is $1.25 input / $4.25 output per million tokens and GLM-5.3 is $1.40 input / $4.40 output per million tokens. Prices as published in the models.dev catalog, as of 2026-09-25.
Which has the bigger context window, Muse Spark 1.3 or GLM-5.3?
Muse Spark 1.3, at 1.05M tokens against GLM-5.3's 1M, as each vendor lists it.
Who makes Muse Spark 1.3 and GLM-5.3?
Muse Spark 1.3 is from Meta; GLM-5.3 is from Zhipu AI.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed September 25, 2026). Boards measure different things, so raw scores are only comparable within a row.
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Also: the bench index · API pricing · the wire