Qwen3.8-Max vs Muse Spark 1.1
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Qwen3.8-Max | Muse Spark 1.1 |
|---|---|---|
| Provider | Alibaba | Meta |
| Input Price (1M) | $2.00 | $1.25 |
| Output Price (1M) | $6.00 | $4.25 |
| Context Window | 1,000,000 | 1,048,576 |
Verdict
Qwen3.8-Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. Muse Spark 1.1 is 38% cheaper on input tokens than Qwen3.8-Max. For output tokens, Muse Spark 1.1 is the more affordable option at $4.25/1M vs $6.00.
On context window, Muse Spark 1.1 supports 1,048,576 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Qwen3.8-Max
- ✓ You are already integrated with Alibaba
When to choose Muse Spark 1.1
- ✓ You need the lowest input token cost ($ 1.25/1M)
- ✓ Your workload is output-heavy — Muse Spark 1.1 generates text cheaper
- ✓ You need a larger context window (1,048,576 tokens)
- ✓ You are already integrated with Meta
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 Qwen3.8-Max cheaper than Muse Spark 1.1? ▼
Muse Spark 1.1 is cheaper on input tokens at $1.25/1M vs $2.00/1M for Qwen3.8-Max — a 38% saving.
What is the context window of Qwen3.8-Max vs Muse Spark 1.1? ▼
Qwen3.8-Max has a 1,000,000-token context window. Muse Spark 1.1 has a 1,048,576-token context window. Muse Spark 1.1 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Qwen3.8-Max or Muse Spark 1.1? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Muse Spark 1.1 is the cheaper option. For maximum context length, Muse Spark 1.1 supports 1,048,576 tokens. Use the comparison table above to find the right fit for your workload.