GLM-5.3-Flash or Muse Spark Open: which to choose?
GLM-5.3-Flash (Zhipu AI (Z.ai)) and Muse Spark Open (Meta) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | GLM-5.3-Flash | Muse Spark Open |
|---|---|---|
| Developer | Zhipu AI (Z.ai) | Meta |
| Released | September 18, 2026 | October 15, 2026 |
| Capability index | 71.9 / 100 | 75.2 / 100 |
| Input price | $0.30 | $1.25 |
| Output price | $1.05 | $4.25 |
| Cost of a typical task | $0.008 | $0.034 |
| Context window | 1,000,000 tokens | 1,048,576 tokens |
| Maximum output | 131,072 tokens | 1,048,576 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image, video, PDF | text, image, video |
| Open weights | Yes | Yes |
| Knowledge cutoff | Not disclosed | January 4, 2026 |
What are we comparing?
GLM-5.3-Flash and Muse Spark Open are two open-weight models that you can install on your own servers, one from Zhipu AI (Z.ai), the other from Meta. GLM-5.3-Flash was released on September 18, 2026, Muse Spark Open on October 15, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
Which one is more capable?
On our capability index, GLM-5.3-Flash scores 71.9 out of 100 and Muse Spark Open 75.2. Muse Spark Open leads by 3.3 points.
On the 4 benchmarks reported for both, GLM-5.3-Flash wins 2 times and Muse Spark Open 2:
- GPQA Diamond (PhD-level science questions): GLM-5.3-Flash 90.2%, Muse Spark Open 88.6%
- OTIS Mock AIME (competition mathematics problems): GLM-5.3-Flash 93.9%, Muse Spark Open 98.1%
- FrontierMath (very hard research-level mathematics): GLM-5.3-Flash 55.8%, Muse Spark Open 69.8%
- APEX-Agents (professional tasks carried out by an agent): GLM-5.3-Flash 52.8%, Muse Spark Open 33.4%
Budget
GLM-5.3-Flash costs $0.30 per million input tokens and $1.05 per million output tokens; Muse Spark Open costs $1.25 and $4.25.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.008 with GLM-5.3-Flash versus $0.034 with Muse Spark Open. GLM-5.3-Flash is 4.2 times cheaper, a gap that adds up quickly over 1,000 tasks: $25.43 difference.
Run the numbers with your own volumes in the agent cost calculator.
Features and limits
Muse Spark Open reads more in one go: 1,048,576 tokens of context (roughly 1,573 pages), versus 1,000,000 for GLM-5.3-Flash.
Reasoning mode: GLM-5.3-Flash yes, Muse Spark Open yes. Tool calling: GLM-5.3-Flash yes, Muse Spark Open yes. Image input: GLM-5.3-Flash yes, Muse Spark Open yes.
Both publish their weights: you can host them yourself.
In short
Our reading of the data:
- Choose GLM-5.3-Flash for a lower cost.
- Choose Muse Spark Open for a higher capability index.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
GLM-5.3-Flash or Muse Spark Open: which is better?
On our index (Epoch AI data), GLM-5.3-Flash scores 71.9 and Muse Spark Open 75.2 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
GLM-5.3-Flash. To read 20,000 tokens and write 2,000, expect $0.008 with GLM-5.3-Flash and $0.034 with Muse Spark Open (prices as of October 22, 2026).
Which one has the larger context window?
Muse Spark Open, with 1,048,576 tokens versus 1,000,000.
Can I run GLM-5.3-Flash or Muse Spark Open on my own servers?
Yes, both publish their weights. Check each license before commercial use.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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