API cost decision in 10 seconds

GPT-5.4 Nano vs Qwen-Plus

Pick Qwen-Plus when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen-Plus when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen-Plus is estimated at $0.65 vs $0.82 for GPT-5.4 Nano, saving $0.17 (21.2% lower).

Cost-first pickQwen-Plus
Context-first pickQwen-Plus
Sample savings$0.1721.2%
10x traffic gap$1.75

Qwen-Plus is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.4 Nano, balanced workload favors Qwen-Plus, and output-heavy chatbot favors Qwen-Plus.

Workload shapeToken mixBetter pickGPT-5.4 NanoQwen-Plus
Input-heavy / RAG5M input + 500K outputGPT-5.4 Nano$1.62$1.69
Balanced workload1M input + 1M outputQwen-Plus$1.45$1.04
Output-heavy chatbot1M input + 5M outputQwen-Plus$6.45$4.16
Cheaper input GPT-5.4 Nano $0.2 vs $0.26 / 1M

GPT-5.4 Nano is $0.06 cheaper per 1M input tokens (23.1% lower; 1.3x difference).

Cheaper output Qwen-Plus $1.25 vs $0.78 / 1M

Qwen-Plus is $0.47 cheaper per 1M output tokens (37.6% lower; 1.6x difference).

Larger context Qwen-Plus 400K vs 1M

Qwen-Plus has 600K more context (2.5x larger).

Sample workload Qwen-Plus $0.82 vs $0.65

Qwen-Plus is $0.17 cheaper on the standard workload (21.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.4 Nano Calculating… Estimated API cost
Qwen-Plus 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; Qwen-Plus has the lower output price; Qwen-Plus offers the larger context window. For the 1M input plus 500K output sample, Qwen-Plus is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.65 for Qwen-Plus.

Best Fit

Choose GPT-5.4 Nano when you care most about lower input-token price.

Choose Qwen-Plus when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen-Plus is estimated at $0.65 vs $0.82 for GPT-5.4 Nano, saving $0.17 (21.2% lower).
  • Qwen-Plus is $0.17 cheaper on the standard workload (21.2% lower).
  • GPT-5.4 Nano is $0.06 cheaper per 1M input tokens (23.1% lower; 1.3x difference).
  • Qwen-Plus is $0.47 cheaper per 1M output tokens (37.6% lower; 1.6x difference).
  • Qwen-Plus has 600K more context (2.5x larger).
Head-to-Head Specs
FeatureGPT-5.4 Nano
(OpenAI)		Qwen-Plus
(Qwen)
Input Price
prompt tokens per 1M		$0.2$0.26
Completion Price
per 1M tokens		$1.25$0.78
Sample Workload Cost
1M input + 500K output		$0.82$0.65
Context Window400K1M
Release Date
Popularity#48#145

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen-PlusOn the standard 1M input plus 500K output workload, Qwen-Plus is estimated at $0.65 vs $0.82 for GPT-5.4 Nano, saving $0.17 (21.2% 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 chatbotsQwen-PlusLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen-PlusA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

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.

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OpenAI catalog

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

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Qwen catalog

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

Open Qwen models
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...

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.