API cost decision in 10 seconds

Muse Spark 1.1 vs Kimi K2.6

Pick Kimi K2.6 for lower cost; pick Muse Spark 1.1 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 Kimi K2.6 for lower cost; pick Muse Spark 1.1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.95 vs $3.38 for Muse Spark 1.1, saving $0.42 (12.6% lower).

Cost-first pickKimi K2.6
Context-first pickMuse Spark 1.1
Sample savings$0.4212.6%
10x traffic gap$4.25

Muse Spark 1.1 has more context, but Kimi K2.6 saves $0.42 on the standard workload. At 10x that traffic, the same price gap is about $4.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Kimi K2.6 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Spark 1.1Kimi K2.6
Input-heavy / RAG5M input + 500K outputKimi K2.6$8.38$6.75
Balanced workload1M input + 1M outputKimi K2.6$5.5$4.95
Output-heavy chatbot1M input + 5M outputKimi K2.6$22.5$20.95
Cheaper input Kimi K2.6 $1.25 vs $0.95 / 1M

Kimi K2.6 is $0.3 cheaper per 1M input tokens (24% lower; 1.32x difference).

Cheaper output Kimi K2.6 $4.25 vs $4 / 1M

Kimi K2.6 is $0.25 cheaper per 1M output tokens (5.9% lower; 1.06x difference).

Larger context Muse Spark 1.1 1.05M vs 262.14K

Muse Spark 1.1 has 786.43K more context (4x larger).

Sample workload Kimi K2.6 $3.38 vs $2.95

Kimi K2.6 is $0.42 cheaper on the standard workload (12.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Spark 1.1 Calculating… Estimated API cost
Kimi K2.6 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

Kimi K2.6 has the lower input price; Kimi K2.6 has the lower output price; Muse Spark 1.1 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.6 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 $2.95 for Kimi K2.6.

Best Fit

Choose Muse Spark 1.1 when you care most about larger context window.

Choose Kimi K2.6 when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.95 vs $3.38 for Muse Spark 1.1, saving $0.42 (12.6% lower).
  • Kimi K2.6 is $0.42 cheaper on the standard workload (12.6% lower).
  • Kimi K2.6 is $0.3 cheaper per 1M input tokens (24% lower; 1.32x difference).
  • Kimi K2.6 is $0.25 cheaper per 1M output tokens (5.9% lower; 1.06x difference).
  • Muse Spark 1.1 has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureMuse Spark 1.1
(Meta)
Kimi K2.6
(MoonshotAI)
Input Price
prompt tokens per 1M
$1.25$0.95
Completion Price
per 1M tokens
$4.25$4
Sample Workload Cost
1M input + 500K output
$3.38$2.95
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionKimi K2.6On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.95 vs $3.38 for Muse Spark 1.1, saving $0.42 (12.6% lower).
High-volume input processingKimi K2.6Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKimi K2.6Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMuse Spark 1.1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Provider catalogs

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Meta catalog

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MoonshotAI 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...

Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...