API cost decision in 10 seconds

Qwen3.5-35B-A3B vs GLM 4.6V

Pick Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.75 for GLM 4.6V, saving $0.11 (14.8% lower).

Cost-first pickQwen3.5-35B-A3B
Context-first pickQwen3.5-35B-A3B
Sample savings$0.1114.8%
10x traffic gap$1.11

Qwen3.5-35B-A3B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.11. 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 Qwen3.5-35B-A3B, balanced workload favors Qwen3.5-35B-A3B, and output-heavy chatbot favors GLM 4.6V.

Workload shapeToken mixBetter pickQwen3.5-35B-A3BGLM 4.6V
Input-heavy / RAG5M input + 500K outputQwen3.5-35B-A3B$1.2$1.95
Balanced workload1M input + 1M outputQwen3.5-35B-A3B$1.14$1.2
Output-heavy chatbot1M input + 5M outputGLM 4.6V$5.14$4.8
Cheaper input Qwen3.5-35B-A3B $0.139 vs $0.3 / 1M

Qwen3.5-35B-A3B is $0.16 cheaper per 1M input tokens (53.7% lower; 2.16x difference).

Cheaper output GLM 4.6V $1 vs $0.9 / 1M

GLM 4.6V is $0.1 cheaper per 1M output tokens (10% lower; 1.11x difference).

Larger context Qwen3.5-35B-A3B 262.14K vs 131.07K

Qwen3.5-35B-A3B has 131.07K more context (2x larger).

Sample workload Qwen3.5-35B-A3B $0.64 vs $0.75

Qwen3.5-35B-A3B is $0.11 cheaper on the standard workload (14.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-35B-A3B Calculating… Estimated API cost
GLM 4.6V 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

Qwen3.5-35B-A3B has the lower input price; GLM 4.6V has the lower output price; Qwen3.5-35B-A3B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5-35B-A3B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3.5-35B-A3B and $0.75 for GLM 4.6V.

Best Fit

Choose Qwen3.5-35B-A3B when you care most about lower input-token price, and larger context window.

Choose GLM 4.6V when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.75 for GLM 4.6V, saving $0.11 (14.8% lower).
  • Qwen3.5-35B-A3B is $0.11 cheaper on the standard workload (14.8% lower).
  • Qwen3.5-35B-A3B is $0.16 cheaper per 1M input tokens (53.7% lower; 2.16x difference).
  • GLM 4.6V is $0.1 cheaper per 1M output tokens (10% lower; 1.11x difference).
  • Qwen3.5-35B-A3B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureQwen3.5-35B-A3B
(Qwen)
GLM 4.6V
(Z.ai)
Input Price
prompt tokens per 1M
$0.139$0.3
Completion Price
per 1M tokens
$1$0.9
Sample Workload Cost
1M input + 500K output
$0.64$0.75
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.5-35B-A3BOn the standard 1M input plus 500K output workload, Qwen3.5-35B-A3B is estimated at $0.64 vs $0.75 for GLM 4.6V, saving $0.11 (14.8% lower).
High-volume input processingQwen3.5-35B-A3BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4.6VLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.5-35B-A3BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Qwen catalog

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

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Z.ai catalog

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Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...