API cost decision in 10 seconds

Muse Spark 1.1 vs Google Gemini Pro Latest

Pick Muse Spark 1.1 when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Muse Spark 1.1 when budget is the priority.

On the standard 1M input plus 500K output workload, Muse Spark 1.1 is estimated at $3.38 vs $8 for Google Gemini Pro Latest, saving $4.62 (57.8% lower).

Cost-first pickMuse Spark 1.1
Context-first pickBoth models
Sample savings$4.6257.8%
10x traffic gap$46.25

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $46.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Muse Spark 1.1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Spark 1.1Google Gemini Pro Latest
Input-heavy / RAG5M input + 500K outputMuse Spark 1.1$8.38$16
Balanced workload1M input + 1M outputMuse Spark 1.1$5.5$14
Output-heavy chatbot1M input + 5M outputMuse Spark 1.1$22.5$62
Cheaper input Muse Spark 1.1 $1.25 vs $2 / 1M

Muse Spark 1.1 is $0.75 cheaper per 1M input tokens (37.5% lower; 1.6x difference).

Cheaper output Muse Spark 1.1 $4.25 vs $12 / 1M

Muse Spark 1.1 is $7.75 cheaper per 1M output tokens (64.6% lower; 2.82x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Muse Spark 1.1 $3.38 vs $8

Muse Spark 1.1 is $4.62 cheaper on the standard workload (57.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Spark 1.1 Calculating… Estimated API cost
Google Gemini Pro Latest Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Muse Spark 1.1 has the lower input price; Muse Spark 1.1 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Muse Spark 1.1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $3.38 for Muse Spark 1.1 and $8 for Google Gemini Pro Latest.

Best Fit

Choose Muse Spark 1.1 when you care most about lower input-token price, and lower output-token price.

Choose Google Gemini Pro Latest when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Muse Spark 1.1 is estimated at $3.38 vs $8 for Google Gemini Pro Latest, saving $4.62 (57.8% lower).
  • Muse Spark 1.1 is $4.62 cheaper on the standard workload (57.8% lower).
  • Muse Spark 1.1 is $0.75 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
  • Muse Spark 1.1 is $7.75 cheaper per 1M output tokens (64.6% lower; 2.82x difference).
  • Both models report the same context window at 1.05M tokens.
Head-to-Head Specs
FeatureMuse Spark 1.1
(Meta)
Google Gemini Pro Latest
(Google)
Input Price
prompt tokens per 1M
$1.25$2
Completion Price
per 1M tokens
$4.25$12
Sample Workload Cost
1M input + 500K output
$3.38$8
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMuse Spark 1.1On the standard 1M input plus 500K output workload, Muse Spark 1.1 is estimated at $3.38 vs $8 for Google Gemini Pro Latest, saving $4.62 (57.8% lower).
High-volume input processingMuse Spark 1.1Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMuse Spark 1.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Meta catalog

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Google catalog

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Muse Spark 1.1

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...

Google Gemini Pro Latest

This model always redirects to the latest model in the Google Gemini Pro family.