API cost decision in 10 seconds

GLM 4 32B vs Qwen2.5 VL 72B Instruct

Pick GLM 4 32B for lower cost; pick Qwen2.5 VL 72B Instruct 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 GLM 4 32B for lower cost; pick Qwen2.5 VL 72B Instruct only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.62 for Qwen2.5 VL 72B Instruct, saving $0.47 (76% lower).

Cost-first pickGLM 4 32B
Context-first pickQwen2.5 VL 72B Instruct
Sample savings$0.4776%
10x traffic gap$4.75

Qwen2.5 VL 72B Instruct has more context, but GLM 4 32B saves $0.47 on the standard workload. At 10x that traffic, the same price gap is about $4.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 4 32B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 4 32BQwen2.5 VL 72B Instruct
Input-heavy / RAG5M input + 500K outputGLM 4 32B$0.55$1.62
Balanced workload1M input + 1M outputGLM 4 32B$0.2$1
Output-heavy chatbot1M input + 5M outputGLM 4 32B$0.6$4
Cheaper input GLM 4 32B $0.1 vs $0.25 / 1M

GLM 4 32B is $0.15 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output GLM 4 32B $0.1 vs $0.75 / 1M

GLM 4 32B is $0.65 cheaper per 1M output tokens (86.7% lower; 7.5x difference).

Larger context Qwen2.5 VL 72B Instruct 128K vs 131.07K

Qwen2.5 VL 72B Instruct has 3.07K more context (1.02x larger).

Sample workload GLM 4 32B $0.15 vs $0.62

GLM 4 32B is $0.47 cheaper on the standard workload (76% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4 32B Calculating… Estimated API cost
Qwen2.5 VL 72B Instruct 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 4 32B has the lower input price; GLM 4 32B has the lower output price; Qwen2.5 VL 72B Instruct offers the larger context window. For the 1M input plus 500K output sample, GLM 4 32B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for GLM 4 32B and $0.62 for Qwen2.5 VL 72B Instruct.

Best Fit

Choose GLM 4 32B when you care most about lower input-token price, and lower output-token price.

Choose Qwen2.5 VL 72B Instruct when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.62 for Qwen2.5 VL 72B Instruct, saving $0.47 (76% lower).
  • GLM 4 32B is $0.47 cheaper on the standard workload (76% lower).
  • GLM 4 32B is $0.15 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • GLM 4 32B is $0.65 cheaper per 1M output tokens (86.7% lower; 7.5x difference).
  • Qwen2.5 VL 72B Instruct has 3.07K more context (1.02x larger).
Head-to-Head Specs
FeatureGLM 4 32B
(Z.ai)
Qwen2.5 VL 72B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$0.1$0.25
Completion Price
per 1M tokens
$0.1$0.75
Sample Workload Cost
1M input + 500K output
$0.15$0.62
Context Window128K131.07K
Release Date
Popularity#147#150

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGLM 4 32BOn the standard 1M input plus 500K output workload, GLM 4 32B is estimated at $0.15 vs $0.62 for Qwen2.5 VL 72B Instruct, saving $0.47 (76% lower).
High-volume input processingGLM 4 32BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4 32BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen2.5 VL 72B InstructA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Qwen catalog

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