Gemini 3.6 Flash (batch) is $0.88 cheaper per 1M input tokens (70% lower; 3.33x difference).
API cost decision in 10 seconds
Gemini 3.6 Flash (batch) vs Muse Spark 1.1
Pick Gemini 3.6 Flash (batch) when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Gemini 3.6 Flash (batch) when budget is the priority.
On the standard 1M input plus 500K output workload, Gemini 3.6 Flash (batch) is estimated at $1.31 vs $3.38 for Muse Spark 1.1, saving $2.06 (61.1% lower).
Cost-first pickGemini 3.6 Flash (batch)
Context-first pickBoth models
Sample savings$2.0661.1%
10x traffic gap$20.62
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $20.62. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Gemini 3.6 Flash (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 3.6 Flash (batch) | Muse Spark 1.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Gemini 3.6 Flash (batch) | $2.81 | $8.38 |
| Balanced workload | 1M input + 1M output | Gemini 3.6 Flash (batch) | $2.25 | $5.5 |
| Output-heavy chatbot | 1M input + 5M output | Gemini 3.6 Flash (batch) | $9.75 | $22.5 |
Gemini 3.6 Flash (batch) is $2.38 cheaper per 1M output tokens (55.9% lower; 2.27x difference).
Both models report the same context window at 1.05M tokens.
Gemini 3.6 Flash (batch) is $2.06 cheaper on the standard workload (61.1% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Gemini 3.6 Flash (batch) has the lower input price; Gemini 3.6 Flash (batch) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemini 3.6 Flash (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.31 for Gemini 3.6 Flash (batch) and $3.38 for Muse Spark 1.1.
Choose Gemini 3.6 Flash (batch) when you care most about lower input-token price, and lower output-token price.
Choose Muse Spark 1.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Gemini 3.6 Flash (batch) is estimated at $1.31 vs $3.38 for Muse Spark 1.1, saving $2.06 (61.1% lower).
- Gemini 3.6 Flash (batch) is $2.06 cheaper on the standard workload (61.1% lower).
- Gemini 3.6 Flash (batch) is $0.88 cheaper per 1M input tokens (70% lower; 3.33x difference).
- Gemini 3.6 Flash (batch) is $2.38 cheaper per 1M output tokens (55.9% lower; 2.27x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | Gemini 3.6 Flash (batch) (Google) | Muse Spark 1.1 (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.375 | $1.25 |
| Completion Price per 1M tokens | $1.875 | $4.25 |
| Sample Workload Cost 1M input + 500K output | $1.31 | $3.38 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemini 3.6 Flash (batch) | On the standard 1M input plus 500K output workload, Gemini 3.6 Flash (batch) is estimated at $1.31 vs $3.38 for Muse Spark 1.1, saving $2.06 (61.1% lower). |
| High-volume input processing | Gemini 3.6 Flash (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemini 3.6 Flash (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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Cheaper alternatives
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Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...