Gemini 2.5 Pro vs Muse Spark 1.3
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Gemini 2.5 Pro | Muse Spark 1.3 |
|---|---|---|
| Provider | Meta | |
| Input Price (1M) | $1.25 | $1.25 |
| Output Price (1M) | $10.00 | $4.25 |
| Context Window | 1,000,000 | 1,048,576 |
Verdict
Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. Gemini 2.5 Pro and Muse Spark 1.3 have identical input token pricing. For output tokens, Muse Spark 1.3 is the more affordable option at $4.25/1M vs $10.00.
On context window, Muse Spark 1.3 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 Gemini 2.5 Pro
- ✓ You are already integrated with Google
When to choose Muse Spark 1.3
- ✓ Your workload is output-heavy — Muse Spark 1.3 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 Gemini 2.5 Pro cheaper than Muse Spark 1.3? ▼
Gemini 2.5 Pro and Muse Spark 1.3 have identical input token pricing at $1.25/1M tokens.
What is the context window of Gemini 2.5 Pro vs Muse Spark 1.3? ▼
Gemini 2.5 Pro has a 1,000,000-token context window. Muse Spark 1.3 has a 1,048,576-token context window. Muse Spark 1.3 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Gemini 2.5 Pro or Muse Spark 1.3? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Gemini 2.5 Pro is the cheaper option. For maximum context length, Muse Spark 1.3 supports 1,048,576 tokens. Use the comparison table above to find the right fit for your workload.