API cost decision in 10 seconds

Inkling (batch) vs Muse Spark 1.1

Pick Inkling (batch) 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 Inkling (batch) 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, Inkling (batch) is estimated at $3.02 vs $3.38 for Muse Spark 1.1, saving $0.35 (10.4% lower).

Cost-first pickInkling (batch)
Context-first pickMuse Spark 1.1
Sample savings$0.3510.4%
10x traffic gap$3.5

Muse Spark 1.1 has more context, but Inkling (batch) saves $0.35 on the standard workload. At 10x that traffic, the same price gap is about $3.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Inkling (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickInkling (batch)Muse Spark 1.1
Input-heavy / RAG5M input + 500K outputInkling (batch)$7.03$8.38
Balanced workload1M input + 1M outputInkling (batch)$5.05$5.5
Output-heavy chatbot1M input + 5M outputInkling (batch)$21.25$22.5
Cheaper input Inkling (batch) $1 vs $1.25 / 1M

Inkling (batch) is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Inkling (batch) $4.05 vs $4.25 / 1M

Inkling (batch) is $0.2 cheaper per 1M output tokens (4.7% lower; 1.05x difference).

Larger context Muse Spark 1.1 524.29K vs 1.05M

Muse Spark 1.1 has 524.29K more context (2x larger).

Sample workload Inkling (batch) $3.02 vs $3.38

Inkling (batch) is $0.35 cheaper on the standard workload (10.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Inkling (batch) Calculating… Estimated API cost
Muse Spark 1.1 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

Inkling (batch) has the lower input price; Inkling (batch) has the lower output price; Muse Spark 1.1 offers the larger context window. For the 1M input plus 500K output sample, Inkling (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $3.02 for Inkling (batch) and $3.38 for Muse Spark 1.1.

Best Fit

Choose Inkling (batch) when you care most about lower input-token price, and lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Inkling (batch) is estimated at $3.02 vs $3.38 for Muse Spark 1.1, saving $0.35 (10.4% lower).
  • Inkling (batch) is $0.35 cheaper on the standard workload (10.4% lower).
  • Inkling (batch) is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Inkling (batch) is $0.2 cheaper per 1M output tokens (4.7% lower; 1.05x difference).
  • Muse Spark 1.1 has 524.29K more context (2x larger).
Head-to-Head Specs
FeatureInkling (batch)
(Thinking Machines)
Muse Spark 1.1
(Meta)
Input Price
prompt tokens per 1M
$1$1.25
Completion Price
per 1M tokens
$4.05$4.25
Sample Workload Cost
1M input + 500K output
$3.02$3.38
Context Window524.29K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionInkling (batch)On the standard 1M input plus 500K output workload, Inkling (batch) is estimated at $3.02 vs $3.38 for Muse Spark 1.1, saving $0.35 (10.4% lower).
High-volume input processingInkling (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsInkling (batch)Lower 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

Same-provider lower-cost swaps
  • Inkling Small (free) can replace Inkling (batch) when lower sample workload cost matters most: $0.
  • Inkling (free) can replace Inkling (batch) when lower sample workload cost matters most: $0.
  • Inkling Small can replace Inkling (batch) when lower sample workload cost matters most: $1.05.
  • Llama 3.3 70B Instruct (free) can replace Muse Spark 1.1 when lower sample workload cost matters most: $0.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Thinking Machines catalog

Review all tracked Thinking Machines models before deciding whether this matchup is the right shortlist.

Open Thinking Machines models

Meta catalog

Check other Meta models with comparable pricing, context, or release timing.

Open Meta models
Inkling (batch)

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

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...