GPT-5.4 vs Muse Spark 1.3
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5.4 | Muse Spark 1.3 |
|---|---|---|
| Provider | OpenAI | Meta |
| Input Price (1M) | $2.50 | $1.25 |
| Output Price (1M) | $15.00 | $4.25 |
| Context Window | 1,050,000 | 1,048,576 |
Verdict
GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens. Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. Muse Spark 1.3 is 50% cheaper on input tokens than GPT-5.4. For output tokens, Muse Spark 1.3 is the more affordable option at $4.25/1M vs $15.00.
On context window, GPT-5.4 supports 1,050,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5.4
- ✓ You need a larger context window (1,050,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose Muse Spark 1.3
- ✓ You need the lowest input token cost ($ 1.25/1M)
- ✓ Your workload is output-heavy — Muse Spark 1.3 generates text cheaper
- ✓ 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 GPT-5.4 cheaper than Muse Spark 1.3? ▼
Muse Spark 1.3 is cheaper on input tokens at $1.25/1M vs $2.50/1M for GPT-5.4 — a 50% saving.
What is the context window of GPT-5.4 vs Muse Spark 1.3? ▼
GPT-5.4 has a 1,050,000-token context window. Muse Spark 1.3 has a 1,048,576-token context window. GPT-5.4 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5.4 or Muse Spark 1.3? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Muse Spark 1.3 is the cheaper option. For maximum context length, GPT-5.4 supports 1,050,000 tokens. Use the comparison table above to find the right fit for your workload.