API cost decision in 10 seconds
Qwen3.6 35B A3B vs Granite 4.0 Micro
Pick Granite 4.0 Micro for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.
Budget verdict
Pick Granite 4.0 Micro for lower cost; pick Qwen3.6 35B A3B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.65 for Qwen3.6 35B A3B, saving $0.58 (88.8% lower).
Qwen3.6 35B A3B has more context, but Granite 4.0 Micro saves $0.58 on the standard workload. At 10x that traffic, the same price gap is about $5.77. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.0 Micro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 35B A3B | Granite 4.0 Micro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.0 Micro | $1.25 | $0.14 |
| Balanced workload | 1M input + 1M output | Granite 4.0 Micro | $1.15 | $0.13 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.0 Micro | $5.15 | $0.58 |
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
Granite 4.0 Micro has the lower input price, Granite 4.0 Micro has the lower output price, and Qwen3.6 35B A3B offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $0.07 for Granite 4.0 Micro.
Choose Qwen3.6 35B A3B when you care most about larger context window.
Choose Granite 4.0 Micro when you care most about lower input-token price, and lower output-token price.
| Feature | Qwen3.6 35B A3B (Qwen) | Granite 4.0 Micro (IBM) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.02 |
| Completion Price per 1M tokens | $1 | $0.11 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $0.07 |
| Context Window | 262.14K | 131K |
| Release Date | 2026-04-27 | 2025-10-20 |
Qwen3.6-35B-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...
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.0 Micro | On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $0.65 for Qwen3.6 35B A3B, saving $0.58 (88.8% lower). |
| High-volume input processing | Granite 4.0 Micro | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Granite 4.0 Micro | 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 and source files. |