API cost decision in 10 seconds

Muse Glimmer 30B vs GPT-5.6 Luna (batch)

Pick GPT-5.6 Luna (batch) when budget and context both matter.

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

Budget verdict

Pick GPT-5.6 Luna (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $1.1 for Muse Glimmer 30B, saving $0.7 (63.6% lower).

Cost-first pickGPT-5.6 Luna (batch)
Context-first pickGPT-5.6 Luna (batch)
Sample savings$0.763.6%
10x traffic gap$7

GPT-5.6 Luna (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5.6 Luna (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMuse Glimmer 30BGPT-5.6 Luna (batch)
Input-heavy / RAG5M input + 500K outputGPT-5.6 Luna (batch)$2.5$0.8
Balanced workload1M input + 1M outputGPT-5.6 Luna (batch)$1.85$0.7
Output-heavy chatbot1M input + 5M outputGPT-5.6 Luna (batch)$7.85$3.1
Cheaper input GPT-5.6 Luna (batch) $0.35 vs $0.1 / 1M

GPT-5.6 Luna (batch) is $0.25 cheaper per 1M input tokens (71.4% lower; 3.5x difference).

Cheaper output GPT-5.6 Luna (batch) $1.5 vs $0.6 / 1M

GPT-5.6 Luna (batch) is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).

Larger context GPT-5.6 Luna (batch) 131.07K vs 1.05M

GPT-5.6 Luna (batch) has 918.93K more context (8.01x larger).

Sample workload GPT-5.6 Luna (batch) $1.1 vs $0.4

GPT-5.6 Luna (batch) is $0.7 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
GPT-5.6 Luna (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

GPT-5.6 Luna (batch) has the lower input price; GPT-5.6 Luna (batch) has the lower output price; GPT-5.6 Luna (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna (batch) 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 $0.4 for GPT-5.6 Luna (batch).

Best Fit

Choose Muse Glimmer 30B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-5.6 Luna (batch) when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $1.1 for Muse Glimmer 30B, saving $0.7 (63.6% lower).
  • GPT-5.6 Luna (batch) is $0.7 cheaper on the standard workload (63.6% lower).
  • GPT-5.6 Luna (batch) is $0.25 cheaper per 1M input tokens (71.4% lower; 3.5x difference).
  • GPT-5.6 Luna (batch) is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).
  • GPT-5.6 Luna (batch) has 918.93K more context (8.01x larger).
Head-to-Head Specs
FeatureMuse Glimmer 30B
(Meta)
GPT-5.6 Luna (batch)
(OpenAI)
Input Price
prompt tokens per 1M
$0.35$0.1
Completion Price
per 1M tokens
$1.5$0.6
Sample Workload Cost
1M input + 500K output
$1.1$0.4
Context Window131.07K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.6 Luna (batch)On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $1.1 for Muse Glimmer 30B, saving $0.7 (63.6% lower).
High-volume input processingGPT-5.6 Luna (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.6 Luna (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Luna (batch)A 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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OpenAI catalog

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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...

GPT-5.6 Luna (batch)

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...