API cost decision in 10 seconds

Qwen3.6 Plus vs GPT-5.4 Nano

Pick GPT-5.4 Nano for lower cost; pick Qwen3.6 Plus 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 GPT-5.4 Nano for lower cost; pick Qwen3.6 Plus only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $1.3 for Qwen3.6 Plus, saving $0.48 (36.5% lower).

Cost-first pickGPT-5.4 Nano
Context-first pickQwen3.6 Plus
Sample savings$0.4836.5%
10x traffic gap$4.75

Qwen3.6 Plus has more context, but GPT-5.4 Nano saves $0.48 on the standard workload. At 10x that traffic, the same price gap is about $4.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5.4 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.6 PlusGPT-5.4 Nano
Input-heavy / RAG5M input + 500K outputGPT-5.4 Nano$2.6$1.62
Balanced workload1M input + 1M outputGPT-5.4 Nano$2.27$1.45
Output-heavy chatbot1M input + 5M outputGPT-5.4 Nano$10.07$6.45
Cheaper input GPT-5.4 Nano $0.325 vs $0.2 / 1M

GPT-5.4 Nano is $0.12 cheaper per 1M input tokens (38.5% lower; 1.62x difference).

Cheaper output GPT-5.4 Nano $1.95 vs $1.25 / 1M

GPT-5.4 Nano is $0.7 cheaper per 1M output tokens (35.9% lower; 1.56x difference).

Larger context Qwen3.6 Plus 1M vs 400K

Qwen3.6 Plus has 600K more context (2.5x larger).

Sample workload GPT-5.4 Nano $1.3 vs $0.82

GPT-5.4 Nano is $0.48 cheaper on the standard workload (36.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 Plus Calculating… Estimated API cost
GPT-5.4 Nano 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

GPT-5.4 Nano has the lower input price; GPT-5.4 Nano has the lower output price; Qwen3.6 Plus offers the larger context window. For the 1M input plus 500K output sample, GPT-5.4 Nano is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 Plus and $0.82 for GPT-5.4 Nano.

Best Fit

Choose Qwen3.6 Plus when you care most about larger context window.

Choose GPT-5.4 Nano 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, GPT-5.4 Nano is estimated at $0.82 vs $1.3 for Qwen3.6 Plus, saving $0.48 (36.5% lower).
  • GPT-5.4 Nano is $0.48 cheaper on the standard workload (36.5% lower).
  • GPT-5.4 Nano is $0.12 cheaper per 1M input tokens (38.5% lower; 1.62x difference).
  • GPT-5.4 Nano is $0.7 cheaper per 1M output tokens (35.9% lower; 1.56x difference).
  • Qwen3.6 Plus has 600K more context (2.5x larger).
Head-to-Head Specs
FeatureQwen3.6 Plus
(Qwen)
GPT-5.4 Nano
(OpenAI)
Input Price
prompt tokens per 1M
$0.325$0.2
Completion Price
per 1M tokens
$1.95$1.25
Sample Workload Cost
1M input + 500K output
$1.3$0.82
Context Window1M400K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.4 NanoOn the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $1.3 for Qwen3.6 Plus, saving $0.48 (36.5% lower).
High-volume input processingGPT-5.4 NanoLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.4 NanoLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.6 PlusA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
Popular competitors
  • No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

OpenAI catalog

Check other OpenAI models with comparable pricing, context, or release timing.

Open OpenAI models
Qwen3.6 Plus

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...

GPT-5.4 Nano

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...