API cost decision in 10 seconds

Gemini 3.1 Pro Preview Custom Tools vs Qwen3.6 Max Preview

Pick Qwen3.6 Max Preview for lower cost; pick Gemini 3.1 Pro Preview Custom Tools only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-30T18:07:59Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.6 Max Preview for lower cost; pick Gemini 3.1 Pro Preview Custom Tools only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.16 vs $8 for Gemini 3.1 Pro Preview Custom Tools, saving $3.84 (48% lower).

Cost-first pickQwen3.6 Max Preview

Context-first pickGemini 3.1 Pro Preview Custom Tools

Sample savings$3.8448%

10x traffic gap$38.4

Gemini 3.1 Pro Preview Custom Tools has more context, but Qwen3.6 Max Preview saves $3.84 on the standard workload. At 10x that traffic, the same price gap is about $38.4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.6 Max Preview stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Gemini 3.1 Pro Preview Custom Tools	Qwen3.6 Max Preview
Input-heavy / RAG	5M input + 500K output	Qwen3.6 Max Preview	$16	$8.32
Balanced workload	1M input + 1M output	Qwen3.6 Max Preview	$14	$7.28
Output-heavy chatbot	1M input + 5M output	Qwen3.6 Max Preview	$62	$32.24

Cheaper input Qwen3.6 Max Preview $2 vs $1.04 / 1M

Qwen3.6 Max Preview is $0.96 cheaper per 1M input tokens (48% lower; 1.92x difference).

Cheaper output Qwen3.6 Max Preview $12 vs $6.24 / 1M

Qwen3.6 Max Preview is $5.76 cheaper per 1M output tokens (48% lower; 1.92x difference).

Larger context Gemini 3.1 Pro Preview Custom Tools 1.05M vs 262.14K

Gemini 3.1 Pro Preview Custom Tools has 786.61K more context (4x larger).

Sample workload Qwen3.6 Max Preview $8 vs $4.16

Qwen3.6 Max Preview is $3.84 cheaper on the standard workload (48% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemini 3.1 Pro Preview Custom Tools Calculating… Estimated API cost

Qwen3.6 Max Preview 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

Qwen3.6 Max Preview has the lower input price; Qwen3.6 Max Preview has the lower output price; Gemini 3.1 Pro Preview Custom Tools offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 Max Preview is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Gemini 3.1 Pro Preview Custom Tools and $4.16 for Qwen3.6 Max Preview.

Best Fit

Choose Gemini 3.1 Pro Preview Custom Tools when you care most about larger context window.

Choose Qwen3.6 Max Preview when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.16 vs $8 for Gemini 3.1 Pro Preview Custom Tools, saving $3.84 (48% lower).
Qwen3.6 Max Preview is $3.84 cheaper on the standard workload (48% lower).
Qwen3.6 Max Preview is $0.96 cheaper per 1M input tokens (48% lower; 1.92x difference).
Qwen3.6 Max Preview is $5.76 cheaper per 1M output tokens (48% lower; 1.92x difference).
Gemini 3.1 Pro Preview Custom Tools has 786.61K more context (4x larger).

Head-to-Head Specs

Feature	Gemini 3.1 Pro Preview Custom Tools (Google)	Qwen3.6 Max Preview (Qwen)
Input Price prompt tokens per 1M	$2	$1.04
Completion Price per 1M tokens	$12	$6.24
Sample Workload Cost 1M input + 500K output	$8	$4.16
Context Window	1.05M	262.14K
Release Date	2026-02-25	2026-04-27
Popularity	#112	#144

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.6 Max Preview	On the standard 1M input plus 500K output workload, Qwen3.6 Max Preview is estimated at $4.16 vs $8 for Gemini 3.1 Pro Preview Custom Tools, saving $3.84 (48% lower).
High-volume input processing	Qwen3.6 Max Preview	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3.6 Max Preview	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemini 3.1 Pro Preview Custom Tools	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 31B (free) can replace Gemini 3.1 Pro Preview Custom Tools when lower sample workload cost matters most: $0.
Gemma 4 26B A4B (free) can replace Gemini 3.1 Pro Preview Custom Tools when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemini 3.1 Pro Preview Custom Tools when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemini 3.1 Pro Preview Custom Tools when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
GPT-5.4 offers 1.05M context with $10 sample workload cost.

Popular competitors

Hy3 preview · Tencent · #1
DeepSeek V4 Flash · DeepSeek · #2
MiMo-V2.5 · Xiaomi · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Provider catalogs

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Google catalog

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Qwen catalog

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Gemini 3.1 Pro Preview Custom Tools

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...

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...