API cost decision in 10 seconds

NewMuse Spark Open vs Qwen3.8 27B (free)

Pick Qwen3.8 27B (free) for lower cost; pick Muse Spark Open 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 Qwen3.8 27B (free) for lower cost; pick Muse Spark Open only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.8 27B (free) is estimated at $0 vs $3.38 for Muse Spark Open, saving $3.38 (100% lower).

Cost-first pickQwen3.8 27B (free)
Context-first pickMuse Spark Open
Sample savings$3.38100%
10x traffic gap$33.75

Muse Spark Open has more context, but Qwen3.8 27B (free) saves $3.38 on the standard workload. At 10x that traffic, the same price gap is about $33.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.8 27B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Spark OpenQwen3.8 27B (free)
Input-heavy / RAG5M input + 500K outputQwen3.8 27B (free)$8.38$0
Balanced workload1M input + 1M outputQwen3.8 27B (free)$5.5$0
Output-heavy chatbot1M input + 5M outputQwen3.8 27B (free)$22.5$0
Cheaper input Qwen3.8 27B (free) $1.25 vs $0 / 1M

Qwen3.8 27B (free) is free for input tokens while Muse Spark Open costs $1.25 per 1M tokens.

Cheaper output Qwen3.8 27B (free) $4.25 vs $0 / 1M

Qwen3.8 27B (free) is free for output tokens while Muse Spark Open costs $4.25 per 1M tokens.

Larger context Muse Spark Open 1.05M vs 262.14K

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

Sample workload Qwen3.8 27B (free) $3.38 vs $0

Qwen3.8 27B (free) is free for the standard workload while the other model is estimated at $3.38.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Spark Open Calculating… Estimated API cost
Qwen3.8 27B (free) 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

Qwen3.8 27B (free) has the lower input price; Qwen3.8 27B (free) has the lower output price; Muse Spark Open offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 27B (free) 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 Open and $0 for Qwen3.8 27B (free).

Best Fit

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

Choose Qwen3.8 27B (free) 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, Qwen3.8 27B (free) is estimated at $0 vs $3.38 for Muse Spark Open, saving $3.38 (100% lower).
  • Qwen3.8 27B (free) is free for the standard workload while the other model is estimated at $3.38.
  • Qwen3.8 27B (free) is free for input tokens while Muse Spark Open costs $1.25 per 1M tokens.
  • Qwen3.8 27B (free) is free for output tokens while Muse Spark Open costs $4.25 per 1M tokens.
  • Muse Spark Open has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewMuse Spark Open
(Meta)
Qwen3.8 27B (free)
(Qwen)
Input Price
prompt tokens per 1M
$1.25$0
Completion Price
per 1M tokens
$4.25$0
Sample Workload Cost
1M input + 500K output
$3.38$0
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.8 27B (free)On the standard 1M input plus 500K output workload, Qwen3.8 27B (free) is estimated at $0 vs $3.38 for Muse Spark Open, saving $3.38 (100% lower).
High-volume input processingQwen3.8 27B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.8 27B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMuse Spark OpenA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Meta catalog

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Qwen catalog

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Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

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Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...