Qwen3.6 35B A3B is $1.05 cheaper per 1M input tokens (87.5% lower; 8x difference).
API cost decision in 10 seconds
Qwen3.6 35B A3B vs GLM 5V Turbo
Pick Qwen3.6 35B A3B when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.6 35B A3B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $3.2 for GLM 5V Turbo, saving $2.55 (79.7% lower).
Cost-first pickQwen3.6 35B A3B
Context-first pickQwen3.6 35B A3B
Sample savings$2.5579.7%
10x traffic gap$25.5
Qwen3.6 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 $25.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.6 35B A3B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 35B A3B | GLM 5V Turbo |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 35B A3B | $1.25 | $8 |
| Balanced workload | 1M input + 1M output | Qwen3.6 35B A3B | $1.15 | $5.2 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 35B A3B | $5.15 | $21.2 |
Qwen3.6 35B A3B is $3 cheaper per 1M output tokens (75% lower; 4x difference).
Qwen3.6 35B A3B has 59.39K more context (1.29x larger).
Qwen3.6 35B A3B is $2.55 cheaper on the standard workload (79.7% lower).
Estimate your workload cost
Your Workload Cost
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
Qwen3.6 35B A3B has the lower input price; Qwen3.6 35B A3B has the lower output price; Qwen3.6 35B A3B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 35B A3B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $3.2 for GLM 5V Turbo.
Choose Qwen3.6 35B A3B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose GLM 5V Turbo when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $3.2 for GLM 5V Turbo, saving $2.55 (79.7% lower).
- Qwen3.6 35B A3B is $2.55 cheaper on the standard workload (79.7% lower).
- Qwen3.6 35B A3B is $1.05 cheaper per 1M input tokens (87.5% lower; 8x difference).
- Qwen3.6 35B A3B is $3 cheaper per 1M output tokens (75% lower; 4x difference).
- Qwen3.6 35B A3B has 59.39K more context (1.29x larger).
| Feature | Qwen3.6 35B A3B (Qwen) | GLM 5V Turbo (Z.ai) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $1.2 |
| Completion Price per 1M tokens | $1 | $4 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $3.2 |
| Context Window | 262.14K | 202.75K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.6 35B A3B | On the standard 1M input plus 500K output workload, Qwen3.6 35B A3B is estimated at $0.65 vs $3.2 for GLM 5V Turbo, saving $2.55 (79.7% lower). |
| High-volume input processing | Qwen3.6 35B A3B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.6 35B A3B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.6 35B A3B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open largest context modelsProvider catalogs
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Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsZ.ai catalog
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Open Z.ai modelsQwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...