API cost decision in 10 seconds

Muse Glimmer 30B vs Qianfan-OCR-Fast

Pick Muse Glimmer 30B 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 Muse Glimmer 30B when budget and context both matter.

On the standard 1M input plus 500K output workload, Muse Glimmer 30B is estimated at $1.1 vs $2.08 for Qianfan-OCR-Fast, saving $0.98 (47.2% lower).

Cost-first pickMuse Glimmer 30B
Context-first pickMuse Glimmer 30B
Sample savings$0.9847.2%
10x traffic gap$9.85

Muse Glimmer 30B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $9.85. 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 30BQianfan-OCR-Fast
Input-heavy / RAG5M input + 500K outputMuse Glimmer 30B$2.5$4.81
Balanced workload1M input + 1M outputMuse Glimmer 30B$1.85$3.49
Output-heavy chatbot1M input + 5M outputMuse Glimmer 30B$7.85$14.73
Cheaper input Muse Glimmer 30B $0.35 vs $0.68 / 1M

Muse Glimmer 30B is $0.33 cheaper per 1M input tokens (48.5% lower; 1.94x difference).

Cheaper output Muse Glimmer 30B $1.5 vs $2.81 / 1M

Muse Glimmer 30B is $1.31 cheaper per 1M output tokens (46.6% lower; 1.87x difference).

Larger context Muse Glimmer 30B 131.07K vs 65.54K

Muse Glimmer 30B has 65.54K more context (2x larger).

Sample workload Muse Glimmer 30B $1.1 vs $2.08

Muse Glimmer 30B is $0.98 cheaper on the standard workload (47.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Muse Glimmer 30B Calculating… Estimated API cost
Qianfan-OCR-Fast 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; 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 $1.1 for Muse Glimmer 30B and $2.08 for Qianfan-OCR-Fast.

Best Fit

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

Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Muse Glimmer 30B is estimated at $1.1 vs $2.08 for Qianfan-OCR-Fast, saving $0.98 (47.2% lower).
  • Muse Glimmer 30B is $0.98 cheaper on the standard workload (47.2% lower).
  • Muse Glimmer 30B is $0.33 cheaper per 1M input tokens (48.5% lower; 1.94x difference).
  • Muse Glimmer 30B is $1.31 cheaper per 1M output tokens (46.6% lower; 1.87x difference).
  • Muse Glimmer 30B has 65.54K more context (2x larger).
Head-to-Head Specs
FeatureMuse Glimmer 30B
(Meta)
Qianfan-OCR-Fast
(Baidu)
Input Price
prompt tokens per 1M
$0.35$0.68
Completion Price
per 1M tokens
$1.5$2.81
Sample Workload Cost
1M input + 500K output
$1.1$2.08
Context Window131.07K65.54K
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 $2.08 for Qianfan-OCR-Fast, saving $0.98 (47.2% 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 workMuse Glimmer 30BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Meta catalog

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Baidu 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...

Qianfan-OCR-Fast

Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.