API cost decision in 10 seconds

Muse Spark 1.2 vs GPT-5.5 Pro

Pick Muse Spark 1.2 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.

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

Budget verdict

Pick Muse Spark 1.2 for lower cost; pick GPT-5.5 Pro only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $120 for GPT-5.5 Pro, saving $116.62 (97.2% lower).

Cost-first pickMuse Spark 1.2
Context-first pickGPT-5.5 Pro
Sample savings$116.6297.2%
10x traffic gap$1166.25

GPT-5.5 Pro has more context, but Muse Spark 1.2 saves $116.62 on the standard workload. At 10x that traffic, the same price gap is about $1166.25. 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 1.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Spark 1.2GPT-5.5 Pro
Input-heavy / RAG5M input + 500K outputMuse Spark 1.2$8.38$240
Balanced workload1M input + 1M outputMuse Spark 1.2$5.5$210
Output-heavy chatbot1M input + 5M outputMuse Spark 1.2$22.5$930
Cheaper input Muse Spark 1.2 $1.25 vs $30 / 1M

Muse Spark 1.2 is $28.75 cheaper per 1M input tokens (95.8% lower; 24x difference).

Cheaper output Muse Spark 1.2 $4.25 vs $180 / 1M

Muse Spark 1.2 is $175.75 cheaper per 1M output tokens (97.6% lower; 42.4x difference).

Larger context GPT-5.5 Pro 1.05M vs 1.05M

GPT-5.5 Pro has 1.42K more context (1x larger).

Sample workload Muse Spark 1.2 $3.38 vs $120

Muse Spark 1.2 is $116.62 cheaper on the standard workload (97.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Spark 1.2 Calculating… Estimated API cost
GPT-5.5 Pro 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 1.2 has the lower input price; Muse Spark 1.2 has the lower output price; GPT-5.5 Pro offers the larger context window. For the 1M input plus 500K output sample, Muse Spark 1.2 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 1.2 and $120 for GPT-5.5 Pro.

Best Fit

Choose Muse Spark 1.2 when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.5 Pro when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $120 for GPT-5.5 Pro, saving $116.62 (97.2% lower).
  • Muse Spark 1.2 is $116.62 cheaper on the standard workload (97.2% lower).
  • Muse Spark 1.2 is $28.75 cheaper per 1M input tokens (95.8% lower; 24x difference).
  • Muse Spark 1.2 is $175.75 cheaper per 1M output tokens (97.6% lower; 42.4x difference).
  • GPT-5.5 Pro has 1.42K more context (1x larger).
Head-to-Head Specs
FeatureMuse Spark 1.2
(Meta)
GPT-5.5 Pro
(OpenAI)
Input Price
prompt tokens per 1M
$1.25$30
Completion Price
per 1M tokens
$4.25$180
Sample Workload Cost
1M input + 500K output
$3.38$120
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMuse Spark 1.2On the standard 1M input plus 500K output workload, Muse Spark 1.2 is estimated at $3.38 vs $120 for GPT-5.5 Pro, saving $116.62 (97.2% lower).
High-volume input processingMuse Spark 1.2Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMuse Spark 1.2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.5 ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

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OpenAI catalog

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Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

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GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...