Muse Spark 1.2 vs GLM-4.7
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Muse Spark 1.2 | GLM-4.7 |
|---|---|---|
| Provider | Meta | Zhipu AI |
| Input Price (1M) | $1.25 | $0.60 |
| Output Price (1M) | $4.25 | $2.20 |
| Context Window | 1,048,576 | 204,800 |
Verdict
Muse Spark 1.2 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. GLM-4.7 is 52% cheaper on input tokens than Muse Spark 1.2. For output tokens, GLM-4.7 is the more affordable option at $2.20/1M vs $4.25.
On context window, Muse Spark 1.2 supports 1,048,576 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Muse Spark 1.2
- ✓ You need a larger context window (1,048,576 tokens)
- ✓ You are already integrated with Meta
When to choose GLM-4.7
- ✓ You need the lowest input token cost ($ 0.60/1M)
- ✓ Your workload is output-heavy — GLM-4.7 generates text cheaper
- ✓ You are already integrated with Zhipu AI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Muse Spark 1.2 cheaper than GLM-4.7? ▼
GLM-4.7 is cheaper on input tokens at $0.60/1M vs $1.25/1M for Muse Spark 1.2 — a 52% saving.
What is the context window of Muse Spark 1.2 vs GLM-4.7? ▼
Muse Spark 1.2 has a 1,048,576-token context window. GLM-4.7 has a 204,800-token context window. Muse Spark 1.2 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Muse Spark 1.2 or GLM-4.7? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-4.7 is the cheaper option. For maximum context length, Muse Spark 1.2 supports 1,048,576 tokens. Use the comparison table above to find the right fit for your workload.