API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Muse Glimmer 30B

Pick Muse Glimmer 30B for lower cost; pick Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B 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 $5 for Qwen3.8 2.4T A95B, saving $3.9 (78% lower).

Cost-first pickMuse Glimmer 30B
Context-first pickQwen3.8 2.4T A95B
Sample savings$3.978%
10x traffic gap$39

Qwen3.8 2.4T A95B has more context, but Muse Glimmer 30B saves $3.9 on the standard workload. At 10x that traffic, the same price gap is about $39. 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 pickQwen3.8 2.4T A95BMuse Glimmer 30B
Input-heavy / RAG5M input + 500K outputMuse Glimmer 30B$13$2.5
Balanced workload1M input + 1M outputMuse Glimmer 30B$8$1.85
Output-heavy chatbot1M input + 5M outputMuse Glimmer 30B$32$7.85
Cheaper input Muse Glimmer 30B $2 vs $0.35 / 1M

Muse Glimmer 30B is $1.65 cheaper per 1M input tokens (82.5% lower; 5.71x difference).

Cheaper output Muse Glimmer 30B $6 vs $1.5 / 1M

Muse Glimmer 30B is $4.5 cheaper per 1M output tokens (75% lower; 4x difference).

Larger context Qwen3.8 2.4T A95B 1.05M vs 131.07K

Qwen3.8 2.4T A95B has 917.5K more context (8x larger).

Sample workload Muse Glimmer 30B $5 vs $1.1

Muse Glimmer 30B is $3.9 cheaper on the standard workload (78% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B 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

Muse Glimmer 30B has the lower input price; Muse Glimmer 30B has the lower output price; Qwen3.8 2.4T A95B 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 $5 for Qwen3.8 2.4T A95B and $1.1 for Muse Glimmer 30B.

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about larger context window.

Choose Muse Glimmer 30B 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, Muse Glimmer 30B is estimated at $1.1 vs $5 for Qwen3.8 2.4T A95B, saving $3.9 (78% lower).
  • Muse Glimmer 30B is $3.9 cheaper on the standard workload (78% lower).
  • Muse Glimmer 30B is $1.65 cheaper per 1M input tokens (82.5% lower; 5.71x difference).
  • Muse Glimmer 30B is $4.5 cheaper per 1M output tokens (75% lower; 4x difference).
  • Qwen3.8 2.4T A95B has 917.5K more context (8x larger).
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Muse Glimmer 30B
(Meta)
Input Price
prompt tokens per 1M
$2$0.35
Completion Price
per 1M tokens
$6$1.5
Sample Workload Cost
1M input + 500K output
$5$1.1
Context Window1.05M131.07K
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 $5 for Qwen3.8 2.4T A95B, saving $3.9 (78% 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 workQwen3.8 2.4T A95BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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

Qwen catalog

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

Open Qwen models

Meta catalog

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

Open Meta models
Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

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...