API cost decision in 10 seconds

Qwen3 Max Thinking vs Granite 4.0 Micro

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

Pricing data updated: 2026-05-26 12:51 UTC 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 Max Thinking 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 $2.73 for Qwen3 Max Thinking, saving $2.66 (97.3% lower).

Cost-first pickGranite 4.0 Micro

Context-first pickQwen3 Max Thinking

Sample savings$2.6697.3%

10x traffic gap$26.57

Qwen3 Max Thinking has more context, but Granite 4.0 Micro saves $2.66 on the standard workload. At 10x that traffic, the same price gap is about $26.57. 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 shape	Token mix	Better pick	Qwen3 Max Thinking	Granite 4.0 Micro
Input-heavy / RAG	5M input + 500K output	Granite 4.0 Micro	$5.85	$0.14
Balanced workload	1M input + 1M output	Granite 4.0 Micro	$4.68	$0.13
Output-heavy chatbot	1M input + 5M output	Granite 4.0 Micro	$20.28	$0.58

Cheaper inputGranite 4.0 Micro$0.78 vs $0.02 / 1M

Cheaper outputGranite 4.0 Micro$3.9 vs $0.11 / 1M

Larger contextQwen3 Max Thinking262.14K vs 131K

Sample workloadGranite 4.0 Micro$2.73 vs $0.07

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokensMonthly output tokens

Qwen3 Max ThinkingCalculating…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 Max Thinking offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.73 for Qwen3 Max Thinking and $0.07 for Granite 4.0 Micro.

Best Fit

Choose Qwen3 Max Thinking 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

Feature	Qwen3 Max Thinking (Qwen)	Granite 4.0 Micro (IBM)
Input Price prompt tokens per 1M	$0.78	$0.02
Completion Price per 1M tokens	$3.9	$0.11
Sample Workload Cost 1M input + 500K output	$2.73	$0.07
Context Window	262.14K	131K
Release Date	2026-02-09	2025-10-20

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

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 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 $2.73 for Qwen3 Max Thinking, saving $2.66 (97.3% 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 Max Thinking	A larger context window leaves more room for retrieved passages and source files.