Gemini 3.5 Flash Lite (batch) is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
API cost decision in 10 seconds
Gemini 3.5 Flash Lite (batch) vs Muse Spark 1.1
Pick Gemini 3.5 Flash Lite (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 3.5 Flash Lite (batch) when budget is the priority.
On the standard 1M input plus 500K output workload, Gemini 3.5 Flash Lite (batch) is estimated at $0.78 vs $3.38 for Muse Spark 1.1, saving $2.6 (77% lower).
Cost-first pickGemini 3.5 Flash Lite (batch)
Context-first pickBoth models
Sample savings$2.677%
10x traffic gap$26
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $26. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Gemini 3.5 Flash Lite (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Gemini 3.5 Flash Lite (batch) | Muse Spark 1.1 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Gemini 3.5 Flash Lite (batch) | $1.38 | $8.38 |
| Balanced workload | 1M input + 1M output | Gemini 3.5 Flash Lite (batch) | $1.4 | $5.5 |
| Output-heavy chatbot | 1M input + 5M output | Gemini 3.5 Flash Lite (batch) | $6.4 | $22.5 |
Gemini 3.5 Flash Lite (batch) is $3 cheaper per 1M output tokens (70.6% lower; 3.4x difference).
Both models report the same context window at 1.05M tokens.
Gemini 3.5 Flash Lite (batch) is $2.6 cheaper on the standard workload (77% 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 3.5 Flash Lite (batch) has the lower input price; Gemini 3.5 Flash Lite (batch) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemini 3.5 Flash Lite (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.78 for Gemini 3.5 Flash Lite (batch) and $3.38 for Muse Spark 1.1.
Choose Gemini 3.5 Flash Lite (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 3.5 Flash Lite (batch) is estimated at $0.78 vs $3.38 for Muse Spark 1.1, saving $2.6 (77% lower).
- Gemini 3.5 Flash Lite (batch) is $2.6 cheaper on the standard workload (77% lower).
- Gemini 3.5 Flash Lite (batch) is $1.1 cheaper per 1M input tokens (88% lower; 8.33x difference).
- Gemini 3.5 Flash Lite (batch) is $3 cheaper per 1M output tokens (70.6% lower; 3.4x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | Gemini 3.5 Flash Lite (batch) (Google) | Muse Spark 1.1 (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $1.25 |
| Completion Price per 1M tokens | $1.25 | $4.25 |
| Sample Workload Cost 1M input + 500K output | $0.78 | $3.38 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemini 3.5 Flash Lite (batch) | On the standard 1M input plus 500K output workload, Gemini 3.5 Flash Lite (batch) is estimated at $0.78 vs $3.38 for Muse Spark 1.1, saving $2.6 (77% lower). |
| High-volume input processing | Gemini 3.5 Flash Lite (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemini 3.5 Flash Lite (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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Open Meta modelsGemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
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...