API cost decision in 10 seconds

NewPerceptron Mk1.5 vs Muse Glimmer 30B

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

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

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickMuse Glimmer 30B
Sample savings$00%
10x traffic gap$0

Context-window winner: Muse Glimmer 30B. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Perceptron Mk1.5, balanced workload favors Muse Glimmer 30B, and output-heavy chatbot favors Muse Glimmer 30B.

Workload shapeToken mixBetter pickPerceptron Mk1.5Muse Glimmer 30B
Input-heavy / RAG5M input + 500K outputPerceptron Mk1.5$1.5$2.1
Balanced workload1M input + 1M outputMuse Glimmer 30B$1.65$1.5
Output-heavy chatbot1M input + 5M outputMuse Glimmer 30B$7.65$6.3
Cheaper input Perceptron Mk1.5 $0.15 vs $0.3 / 1M

Perceptron Mk1.5 is $0.15 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Muse Glimmer 30B $1.5 vs $1.2 / 1M

Muse Glimmer 30B is $0.3 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Muse Glimmer 30B 36.86K vs 131.07K

Muse Glimmer 30B has 94.21K more context (3.56x larger).

Sample workload Muse Glimmer 30B $0.9 vs $0.9

Muse Glimmer 30B is $0 cheaper on the standard workload (0% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1.5 Calculating… Estimated API cost
Muse Glimmer 30B 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

Perceptron Mk1.5 has the lower input price; Muse Glimmer 30B has the lower output price; Muse Glimmer 30B 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 $0.9 for Perceptron Mk1.5 and $0.9 for Muse Glimmer 30B.

Best Fit

Choose Perceptron Mk1.5 when you care most about lower input-token price.

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

Decision Notes
  • Both models are estimated at $0.9 for the standard 1M input plus 500K output workload.
  • Muse Glimmer 30B is $0 cheaper on the standard workload (0% lower).
  • Perceptron Mk1.5 is $0.15 cheaper per 1M input tokens (50% lower; 2x difference).
  • Muse Glimmer 30B is $0.3 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • Muse Glimmer 30B has 94.21K more context (3.56x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1.5
(Perceptron)
Muse Glimmer 30B
(Meta)
Input Price
prompt tokens per 1M
$0.15$0.3
Completion Price
per 1M tokens
$1.5$1.2
Sample Workload Cost
1M input + 500K output
$0.9$0.9
Context Window36.86K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $0.9 for the standard 1M input plus 500K output workload.
High-volume input processingPerceptron Mk1.5Lower 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 workMuse Glimmer 30BA 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

Perceptron catalog

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

Open Perceptron models

Meta catalog

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

Open Meta models
Perceptron Mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

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...