API cost decision in 10 seconds

Qwen3 Next 80B A3B Instruct vs Qwen-Plus

Pick Qwen3 Next 80B A3B Instruct for lower cost; pick Qwen-Plus only if the larger context window matters more.

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

Budget verdict

Pick Qwen3 Next 80B A3B Instruct for lower cost; pick Qwen-Plus only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Qwen-Plus, saving $0.01 (1.5% lower).

Cost-first pickQwen3 Next 80B A3B Instruct
Context-first pickQwen-Plus
Sample savings$0.011.5%
10x traffic gap$0.1

Qwen-Plus has more context, but Qwen3 Next 80B A3B Instruct saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.1. 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 Qwen3 Next 80B A3B Instruct, balanced workload favors Qwen-Plus, and output-heavy chatbot favors Qwen-Plus.

Workload shapeToken mixBetter pickQwen3 Next 80B A3B InstructQwen-Plus
Input-heavy / RAG5M input + 500K outputQwen3 Next 80B A3B Instruct$1$1.69
Balanced workload1M input + 1M outputQwen-Plus$1.19$1.04
Output-heavy chatbot1M input + 5M outputQwen-Plus$5.59$4.16
Cheaper input Qwen3 Next 80B A3B Instruct $0.09 vs $0.26 / 1M

Qwen3 Next 80B A3B Instruct is $0.17 cheaper per 1M input tokens (65.4% lower; 2.89x difference).

Cheaper output Qwen-Plus $1.1 vs $0.78 / 1M

Qwen-Plus is $0.32 cheaper per 1M output tokens (29.1% lower; 1.41x difference).

Larger context Qwen-Plus 262.14K vs 1M

Qwen-Plus has 737.86K more context (3.81x larger).

Sample workload Qwen3 Next 80B A3B Instruct $0.64 vs $0.65

Qwen3 Next 80B A3B Instruct is $0.01 cheaper on the standard workload (1.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 Next 80B A3B Instruct 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

Qwen3 Next 80B A3B Instruct 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, Qwen3 Next 80B A3B Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.64 for Qwen3 Next 80B A3B Instruct and $0.65 for Qwen-Plus.

Best Fit

Choose Qwen3 Next 80B A3B Instruct 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, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Qwen-Plus, saving $0.01 (1.5% lower).
  • Qwen3 Next 80B A3B Instruct is $0.01 cheaper on the standard workload (1.5% lower).
  • Qwen3 Next 80B A3B Instruct is $0.17 cheaper per 1M input tokens (65.4% lower; 2.89x difference).
  • Qwen-Plus is $0.32 cheaper per 1M output tokens (29.1% lower; 1.41x difference).
  • Qwen-Plus has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureQwen3 Next 80B A3B Instruct
(Qwen)		Qwen-Plus
(Qwen)
Input Price
prompt tokens per 1M		$0.09$0.26
Completion Price
per 1M tokens		$1.1$0.78
Sample Workload Cost
1M input + 500K output		$0.64$0.65
Context Window262.14K1M
Release Date
Popularity#89#145

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 Next 80B A3B InstructOn the standard 1M input plus 500K output workload, Qwen3 Next 80B A3B Instruct is estimated at $0.64 vs $0.65 for Qwen-Plus, saving $0.01 (1.5% lower).
High-volume input processingQwen3 Next 80B A3B InstructLower 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
  • Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.
  • Qwen3 Coder 480B A35B (free) can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.
  • Qwen2.5 7B Instruct can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.09.
  • Qwen3.5-9B can replace Qwen3 Next 80B A3B Instruct when lower sample workload cost matters most: $0.11.
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.

Open provider hubs

Qwen catalog

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

Open Qwen models
Qwen3 Next 80B A3B Instruct

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...

Qwen-Plus

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