API cost decision in 10 seconds

GLM 4.7 vs Qwen3 VL 235B A22B Thinking

Pick GLM 4.7 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 GLM 4.7 when budget and context both matter.

On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.29 (18.3% lower).

Cost-first pickGLM 4.7
Context-first pickGLM 4.7
Sample savings$0.2918.3%
10x traffic gap$2.85

GLM 4.7 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 VL 235B A22B Thinking, balanced workload favors GLM 4.7, and output-heavy chatbot favors GLM 4.7.

Workload shapeToken mixBetter pickGLM 4.7Qwen3 VL 235B A22B Thinking
Input-heavy / RAG5M input + 500K outputQwen3 VL 235B A22B Thinking$2.88$2.6
Balanced workload1M input + 1M outputGLM 4.7$2.15$2.86
Output-heavy chatbot1M input + 5M outputGLM 4.7$9.15$13.26
Cheaper input Qwen3 VL 235B A22B Thinking $0.4 vs $0.26 / 1M

Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).

Cheaper output GLM 4.7 $1.75 vs $2.6 / 1M

GLM 4.7 is $0.85 cheaper per 1M output tokens (32.7% lower; 1.49x difference).

Larger context GLM 4.7 202.75K vs 131.07K

GLM 4.7 has 71.68K more context (1.55x larger).

Sample workload GLM 4.7 $1.27 vs $1.56

GLM 4.7 is $0.29 cheaper on the standard workload (18.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4.7 Calculating… Estimated API cost
Qwen3 VL 235B A22B Thinking 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

Qwen3 VL 235B A22B Thinking has the lower input price; GLM 4.7 has the lower output price; GLM 4.7 offers the larger context window. For the 1M input plus 500K output sample, GLM 4.7 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.27 for GLM 4.7 and $1.56 for Qwen3 VL 235B A22B Thinking.

Best Fit

Choose GLM 4.7 when you care most about lower output-token price, and larger context window.

Choose Qwen3 VL 235B A22B Thinking when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.29 (18.3% lower).
  • GLM 4.7 is $0.29 cheaper on the standard workload (18.3% lower).
  • Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
  • GLM 4.7 is $0.85 cheaper per 1M output tokens (32.7% lower; 1.49x difference).
  • GLM 4.7 has 71.68K more context (1.55x larger).
Head-to-Head Specs
FeatureGLM 4.7
(Z.ai)		Qwen3 VL 235B A22B Thinking
(Qwen)
Input Price
prompt tokens per 1M		$0.4$0.26
Completion Price
per 1M tokens		$1.75$2.6
Sample Workload Cost
1M input + 500K output		$1.27$1.56
Context Window202.75K131.07K
Release Date
Popularity#43#103

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGLM 4.7On the standard 1M input plus 500K output workload, GLM 4.7 is estimated at $1.27 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.29 (18.3% lower).
High-volume input processingQwen3 VL 235B A22B ThinkingLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4.7Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGLM 4.7A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 4.5 Air (free) can replace GLM 4.7 when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 4.7 when lower sample workload cost matters most: $0.15.
  • GLM 4.7 Flash can replace GLM 4.7 when lower sample workload cost matters most: $0.26.
  • GLM 4.5 Air can replace GLM 4.7 when lower sample workload cost matters most: $0.55.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Z.ai catalog

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Qwen catalog

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

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GLM 4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

Qwen3 VL 235B A22B Thinking

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....