API cost decision in 10 seconds

🔥GLM 5.3 Flash vs NewExtract

Pick Extract for lower cost; pick GLM 5.3 Flash 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 Extract for lower cost; pick GLM 5.3 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.49 for GLM 5.3 Flash, saving $0.45 (91.8% lower).

Cost-first pickExtract
Context-first pickGLM 5.3 Flash
Sample savings$0.4591.8%
10x traffic gap$4.46

GLM 5.3 Flash has more context, but Extract saves $0.45 on the standard workload. At 10x that traffic, the same price gap is about $4.46. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Extract stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5.3 FlashExtract
Input-heavy / RAG5M input + 500K outputExtract$0.63$0.2
Balanced workload1M input + 1M outputExtract$0.94$0.04
Output-heavy chatbot1M input + 5M outputExtract$4.54$0.04
Cheaper input GLM 5.3 Flash $0.036 vs $0.04 / 1M

GLM 5.3 Flash is $0.004 cheaper per 1M input tokens (10% lower; 1.11x difference).

Cheaper output Extract $0.9 vs $0 / 1M

Extract is free for output tokens while GLM 5.3 Flash costs $0.9 per 1M tokens.

Larger context GLM 5.3 Flash 1.05M vs 1M

GLM 5.3 Flash has 48.58K more context (1.05x larger).

Sample workload Extract $0.49 vs $0.04

Extract is $0.45 cheaper on the standard workload (91.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5.3 Flash Calculating… Estimated API cost
Extract 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

GLM 5.3 Flash has the lower input price; Extract has the lower output price; GLM 5.3 Flash offers the larger context window. For the 1M input plus 500K output sample, Extract is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.49 for GLM 5.3 Flash and $0.04 for Extract.

Best Fit

Choose GLM 5.3 Flash when you care most about lower input-token price, and larger context window.

Choose Extract when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.49 for GLM 5.3 Flash, saving $0.45 (91.8% lower).
  • Extract is $0.45 cheaper on the standard workload (91.8% lower).
  • GLM 5.3 Flash is $0.004 cheaper per 1M input tokens (10% lower; 1.11x difference).
  • Extract is free for output tokens while GLM 5.3 Flash costs $0.9 per 1M tokens.
  • GLM 5.3 Flash has 48.58K more context (1.05x larger).
Head-to-Head Specs
Feature🔥GLM 5.3 Flash
(Z.ai)
NewExtract
(ScaleDown)
Input Price
prompt tokens per 1M
$0.036$0.04
Completion Price
per 1M tokens
$0.9$0
Sample Workload Cost
1M input + 500K output
$0.49$0.04
Context Window1.05M1M
Release Date
Popularity#3

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionExtractOn the standard 1M input plus 500K output workload, Extract is estimated at $0.04 vs $0.49 for GLM 5.3 Flash, saving $0.45 (91.8% lower).
High-volume input processingGLM 5.3 FlashLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsExtractLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGLM 5.3 FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 5.2 (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
  • GLM 4.5 Air (free) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.15.
  • GLM 5.3 Flash (batch) can replace GLM 5.3 Flash when lower sample workload cost matters most: $0.16.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

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.

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Z.ai catalog

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

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ScaleDown catalog

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

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GLM 5.3 Flash

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

Extract

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `provider.options.scaledown.entities`, and the...