API cost decision in 10 seconds

Muse Glimmer 30B vs Inkling (batch)

Pick Muse Glimmer 30B for lower cost; pick Inkling (batch) 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 Glimmer 30B for lower cost; pick Inkling (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Muse Glimmer 30B is estimated at $1.1 vs $3.02 for Inkling (batch), saving $1.92 (63.6% lower).

Cost-first pickMuse Glimmer 30B
Context-first pickInkling (batch)
Sample savings$1.9263.6%
10x traffic gap$19.25

Inkling (batch) has more context, but Muse Glimmer 30B saves $1.92 on the standard workload. At 10x that traffic, the same price gap is about $19.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Muse Glimmer 30B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Glimmer 30BInkling (batch)
Input-heavy / RAG5M input + 500K outputMuse Glimmer 30B$2.5$7.03
Balanced workload1M input + 1M outputMuse Glimmer 30B$1.85$5.05
Output-heavy chatbot1M input + 5M outputMuse Glimmer 30B$7.85$21.25
Cheaper input Muse Glimmer 30B $0.35 vs $1 / 1M

Muse Glimmer 30B is $0.65 cheaper per 1M input tokens (65% lower; 2.86x difference).

Cheaper output Muse Glimmer 30B $1.5 vs $4.05 / 1M

Muse Glimmer 30B is $2.55 cheaper per 1M output tokens (63% lower; 2.7x difference).

Larger context Inkling (batch) 131.07K vs 524.29K

Inkling (batch) has 393.22K more context (4x larger).

Sample workload Muse Glimmer 30B $1.1 vs $3.02

Muse Glimmer 30B is $1.92 cheaper on the standard workload (63.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Glimmer 30B Calculating… Estimated API cost
Inkling (batch) 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 Glimmer 30B has the lower input price; Muse Glimmer 30B has the lower output price; Inkling (batch) offers the larger context window. For the 1M input plus 500K output sample, Muse Glimmer 30B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.1 for Muse Glimmer 30B and $3.02 for Inkling (batch).

Best Fit

Choose Muse Glimmer 30B when you care most about lower input-token price, and lower output-token price.

Choose Inkling (batch) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Muse Glimmer 30B is estimated at $1.1 vs $3.02 for Inkling (batch), saving $1.92 (63.6% lower).
  • Muse Glimmer 30B is $1.92 cheaper on the standard workload (63.6% lower).
  • Muse Glimmer 30B is $0.65 cheaper per 1M input tokens (65% lower; 2.86x difference).
  • Muse Glimmer 30B is $2.55 cheaper per 1M output tokens (63% lower; 2.7x difference).
  • Inkling (batch) has 393.22K more context (4x larger).
Head-to-Head Specs
FeatureMuse Glimmer 30B
(Meta)
Inkling (batch)
(Thinking Machines)
Input Price
prompt tokens per 1M
$0.35$1
Completion Price
per 1M tokens
$1.5$4.05
Sample Workload Cost
1M input + 500K output
$1.1$3.02
Context Window131.07K524.29K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMuse Glimmer 30BOn the standard 1M input plus 500K output workload, Muse Glimmer 30B is estimated at $1.1 vs $3.02 for Inkling (batch), saving $1.92 (63.6% lower).
High-volume input processingMuse Glimmer 30BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMuse Glimmer 30BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workInkling (batch)A 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

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

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Provider catalogs

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

Open provider hubs

Meta catalog

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

Open Meta models
Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

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,...