API cost decision in 10 seconds

Qwen3.6 Max Preview vs Granite 4.0 Micro

Pick Granite 4.0 Micro for lower cost; pick Qwen3.6 Max Preview only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Granite 4.0 Micro for lower cost; pick Qwen3.6 Max Preview 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 $4.16 for Qwen3.6 Max Preview, saving $4.09 (98.2% lower).

Cost-first pickGranite 4.0 Micro
Context-first pickQwen3.6 Max Preview
Sample savings$4.0998.2%
10x traffic gap$40.87

Qwen3.6 Max Preview has more context, but Granite 4.0 Micro saves $4.09 on the standard workload. At 10x that traffic, the same price gap is about $40.87. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Granite 4.0 Micro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 Max PreviewGranite 4.0 Micro
Input-heavy / RAG 5M input + 500K output Granite 4.0 Micro $8.32 $0.14
Balanced workload 1M input + 1M output Granite 4.0 Micro $7.28 $0.13
Output-heavy chatbot 1M input + 5M output Granite 4.0 Micro $32.24 $0.58
Cheaper inputGranite 4.0 Micro$1.04 vs $0.02 / 1M
Cheaper outputGranite 4.0 Micro$6.24 vs $0.11 / 1M
Larger contextQwen3.6 Max Preview262.14K vs 131K
Sample workloadGranite 4.0 Micro$4.16 vs $0.07

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 Max PreviewCalculating…Estimated API cost
Granite 4.0 MicroCalculating…Estimated API cost
Cheaper for this workloadCalculating…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

Granite 4.0 Micro has the lower input price, Granite 4.0 Micro has the lower output price, and Qwen3.6 Max Preview offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $4.16 for Qwen3.6 Max Preview and $0.07 for Granite 4.0 Micro.

Best Fit

Choose Qwen3.6 Max Preview 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.

Head-to-Head Specs
FeatureQwen3.6 Max Preview
(Qwen)		Granite 4.0 Micro
(IBM)
Input Price
prompt tokens per 1M		$1.04$0.02
Completion Price
per 1M tokens		$6.24$0.11
Sample Workload Cost
1M input + 500K output		$4.16$0.07
Context Window262.14K131K
Release Date2026-04-272025-10-20
Qwen3.6 Max Preview

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...

Granite 4.0 Micro

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 caseBetter pickWhy
Budget-constrained productionGranite 4.0 MicroOn the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $4.16 for Qwen3.6 Max Preview, saving $4.09 (98.2% lower).
High-volume input processingGranite 4.0 MicroLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsGranite 4.0 MicroLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 Max PreviewA larger context window leaves more room for retrieved passages and source files.